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GitHub - Log4s/log4s: High-performance SLF4J wrapper for Scala.
Log4s
Note: Log4s is not vulnerable to log4shell (CVE-2021-44228) but the loggers that sit behind it may be. See more details.
Note: version 1.6 and above have experimental support for Scala.js. See the table of contents below for documentation.
To get started quickly, you can add this dependency to your build.sbt
libraryDependencies += "org.log4s" %% "log4s" % "1.10.0"
Topics
- Introduction
- Requirements
- Using Log4s
- Scala.js support
- Log4s Testing
- Unsupported features
- Contributors
Introduction
Logging is a generally solved problem on the JVM, thanks largely to the excellent work of Ceki Gülcü and many others. The SLF4J library solves the problem of abstracting logging over different frameworks on the JVM, and frameworks like Logback and Log4j 2 are both flexible and powerful.
On the JVM, Log4s simply sits on top of these existing subsystems. Scala's macro and value classes, enable Log4s provide an idiomatic Scala façade that does not impose runtime overhead and that frequently outperforms the common usage patterns of the JVM APIs.
Log4s also provides some additional functionality to improve the ease of logging-related development, including the Log4s Testing framework for facilitating the testing of logging-related code.
Using Log4s
Requirements
Scala 2.11, 2.12 and 2.13 are fully supported. No special settings or compiler options are required: just add the dependency as described above.
Scala 2.10
Scala 2.10 support is still present, but it is beyond its support window: it may be removed in any future minor release if there's a reason. (It will not be removed in a patch release.)
The macro paradise compiler extensions are not required for Scala 2.10.
Getting a logger
Most of the time, you simply want to define a logger with a name that matches the enclosing class or module. Log4s makes this common case as easy as possible, transparently deriving the name for you with zero overhead at runtime.
package com.example.project
import org.log4s._
class DemoClass {
// Retrieves a logger for "com.example.project.DemoClass"
private[this] val logger = getLogger
???
}
There is no requirement that you mark your loggers with private[this]
, but
the compiler may bypass accessors and generate direct field access if you do.
It is not required that you import org.log4s._
into your classes: calling
org.log4s.getLogger
will also have the same effect. I generally recommend
importing the entire log4s
package: it doesn't have many symbols that are
likely to conflict, and importing the package makes it easy to access other
logging features if needed.
Automatic logger naming also works for modules (a.k.a. objects or singletons).
object DemoClass {
// Will log against category "com.example.project.DemoClass"
private val logger = org.log4s.getLogger
???
}
Notice that by default, Log4s does not include a $ at the end of logger
categories for modules. This is slightly different behavior from the common
idiom LoggerFactory.getLogger(getClass)
used to get a logger for a module,
but this behavior is more consistent with Java practices and I suspect is what
a majority of users will prefer. Future enhancements may provide a mechanism
to allow the user to choose whether to include the trailing $.
Custom Logger Names
There are situations where you may want to use a custom logger name. E.g., you may want to have a special category for some kind of high-level events, or you may want to consolidate the logging of two related classes.
To accomplish this, you can simply pass a name directly to getLogger
.
import org.log4s._
object CustomNamed {
private[this] val queryLogger = getLogger("queries")
}
Although this is fully supported, I recommend that you use the automatic class-named loggers most of the time. Class-named loggers provide useful debugging information and usually align well with the decisions you'll make about which logging statements you want to enable in which situations. By letting the compiler provide the name for you, you also reduce the chance of errors as you refactor your code.
Instance or static?
My recommendation is that by default you create your loggers as instance
variables and mark them as private[this]
. This may be more compatible with
some complex classloading environments, and this practice is more friendly to
principles of encapsulation.
However, if a specific class will be instantiated very frequently, you may
want to move its logger to the companion module and mark it private
.
There are some cases where greater visibility is justified, but these are
infrequent for most applications.
The SLF4J FAQ has a good discussion of the tradeoffs between static and instance loggers.
Logging messages
The logger interfaces are extremely simple, but they're more powerful than they look. All the standard loggers take a single argument of type string.
class MyClass(val data: Map[String,Int]) {
private[this] val logger = org.log4s.getLogger
logger.debug("Constructing new instance of MyClass")
logger.trace(s"New instance's data set: $data")
}
Unlike SLF4J, there are no special methods for parameterized logging, because it turns out to be completely unnecessary. Parameterized logging serves two primary purposes: it provides an easy way to construct complex strings, and it helps avoid some of the costs of building a dynamic message when the message is at a level that is not enabled.
As you can see from the example, Scala 2.10's string interpolation is a much more powerful solution to the first of these issues—and it even saves the runtime work of parsing a format string by splitting up the string into easily concatenated pieces at compile time.
Log4s goes even further in that it uses macros to manipulate the execution so that the string interpolations are not even performed unless the logger is enabled. It does this by inspecting the structure of the argument that you pass into the logger.
If you pass a constant string literal, Log4s will make a direct, in-line call to the underlying SLF4J log method. If you pass in any kind of more complex expression, Log4s will wrap it in an isLevelEnabled call automatically. This is what SLF4J does when you use parameterized logging, but Log4s does it transparently and can even auto-wrap additional calculation.
Compare the following:
class JavaClass {
...
logger.trace("Element 1000: {}", linkedList.get(1000));
...
}
class ScalaClass {
...
logger.trace(s"Element 1000: ${linkedList(1000)}")
...
}
In the Java API, parameterized logging is not enough: unless you wrap the call
with isTraceEnabled
, you will still incur the cost of stepping through the
linked list to find element 1000 even if trace-level logging is disabled.
Without manual intervention, SLF4J only avoids the cost of string
concatenations.
However, Log4s can do better. Its macros discover at compile time that you are
constructing a dynamic log statement and automatically wrap the entire
calculation with isTraceEnabled
.
The string interpolation syntax is not required for this detection, but it is usually the easiest and best-performing approach.
You can also use message nesting with entire code blocks. If logging is not enabled at the provided level, the block is skipped entirely.
class ComplexTrace {
...
logger trace {
def helper(s: String) = ???
val x = ...
val y = helper(...)
s"Combined trace message for $x: $y"
}
}
You can, of course, accomplish the same thing using
if (logger.isTraceEnabled) ...
. If the logger is disabled, they will have
identical performance. However, the explicit test may perform slightly better
than a block in the case where the logger is enabled as a closure may be
required to compile the block. (In most situations, these differences are
completely negligible, but designing for zero overhead and documenting any
usage patterns that do add overhead is a major goal of Log4s.)
Exception logging
When logging an exception, it's always the best practice to send the actual exception object into your logging system. This gives you flexibility in how it's displayed, the ability to do filtering, and additional options for things like database logging.
Log4s allows you to pass exceptions into your logger, while still maintining the simple string-interpolation style API that makes it so convenient. To log an exception, use the following syntax.
try {
...
} catch {
case e: Exception => logger.error(e)("Some error message")
}
There is no method to log an error message without any message, because this is generally not a good practice. You can always feed it an empty string if you really want. It's usually not desirable to use the exception's message, as most logging systems will output this anyway.
Like regular message logging, dynamic arguments are only evaluated if the
provided logger is turned on. This includes both the Throwable
and the
message itself.
This means you could use the following pattern to see who is calling a method,
and if you were to disable trace logging you would only pay for the call to
isTraceEnabled
, which has a cost of only a few nanoseconds (according to the
SLF4J FAQ).
object MyObject {
def xyz() {
logger.trace(new RuntimeException())("Got call into xyz")
???
}
}
(This is more an illustration of the possibilities of dynamic message processing than a suggestion that this is the best way to get caller information. However, sometimes a low-tech solution like this can be a good complement to more complex solutions like profilers and debuggers.)
Diagnostic contexts
Mapped diagnostic contexts (MDCs) are a great way to put share common contextual information across all log statements. Frameworks like Logback have the ability to not just output them, but also use them in filtering to select the type of logging to perform or even persist certain information in databases.
MDCs in Log4s have the same semantics as those of standard MDCs in SLF4J. In keeping with the design goal of making SLF4J idiomatic to Scala, Log4s's MDCs implement the standard interface for a Scala mutable map.
Though I cover the map-style API first, see the MDC convenience and safety section below for the simpler idiom that I recommend for most situations.
MDC Map-style API
The direct way to manipulate MDCs is through the org.log4s.MDC
object.
import org.log4s._
object DiagnosticExample {
private[this] val logger = getLogger
def doRequest(user: String) {
val requestId = java.util.UUID.randomUUID
// Empty out the MDC for this thread
MDC.clear
/* *************************** */
/* Set some context in the MDC */
/* *************************** */
// Set a single value
MDC("request-id") = requestId.toString
// Set multiple values
MDC += ("request-user" -> user, "request-time" -> System.currentTimeMillis)
// Note that Log4s requires the caller to do string conversion. This helps
// ensure that it's really the implementation that you want.
/* *************** */
/* Use our context */
/* *************** */
// No need to put the request ID in the message: it's in the context
logger.debug("Processing request")
/* ************************ */
/* Remove context variables */
/* ************************ */
// Remove a single value
MDC -= "request-id"
// Remove multiple values
MDC -= ("request-user", "request-time")
}
}
These are a few common examples, but all the mutator methods of a mutable map will work. It's also possible to intermix calls to SLF4J's MDC methods directly: the Log4s map is backed by the actual SLF4J MDC.
MDC convenience and safety
Note that the example above has a common bug: if some exception happens during request processing, the MDC will not get cleaned up and it will leak to other operations. Because of this common situation, there's a convenience method that does cleanup in a finalizer block. I recommend using this approach for most common settings.
import org.log4s._
object BlockExample {
def doRequest(user: String) {
val requestId = java.util.UUID.randomUUID
// This context operates only for the block, then cleans itself up
MDC.withCtx("request-id" -> requestId.toString, "request-user" -> user) {
logger.debug("Processing request")
}
}
}
Nesting context blocks is permitted. The inner context block retains the values of the outer context. If there are conflicts, the inner block wins, but the outer value is restored when the inner block is completed.
This ability to restore previous values on block exit does require their storage in a map which adds slight memory overhead. If you are in a tight loop with nested contexts, you may have better performance if you add and remove values directly. These performance costs apply only to the block-based API, not the map-style API.
Scala.js Support
Scala.js support is currently experimental. It should be stable enough to use reliably, but there may be API changes in the future. If there are changes, they would likely be to either the configuration system or to the JavaScript native APIs.
Many Scala.js-specific APIs are in the org.log4s.log4sjs
package. It is not
currently recommended that you import this full package. There may be many public
APIs in here that become private later.
Scala-defined usage
Your Scala code that targets JavaScript can retrieve and use loggers exactly the same way that you would when targeting the JVM, fulfilling the basic promise of Scala.js.
Configuration
Unlike when targeting the JVM, standard frameworks like Logback or Log4j are not available to do the configuration of the logging system. Instead, there is an API that you can call to adjust logging thresholds and appenders.
Normally, you will call this API very early on during your application's startup to set up your logging configuration. However, you can adjust the settings at any time.
import org.log4s._
def initLogging(): Unit = {
import Log4sConfig._
/* Set `org.log4s.foo` and any children to log only Info or higher */
setLoggerThreshold("org.log4s.foo", Info)
/* Set `org.log4s` to not log anything. This will not override the specific
* setting we already applied to `org.log4s.foo`. */
setLoggerThreshold("org.log4s", OffThreshold)
/* Set to log everything */
setLoggerThreshold("", AllThreshold)
/* Unset a previously customized threshold. *Now* this category will inherit
* from the parent level, which we disabled. */
resetLoggerThreshold("org.log4s.foo")
/* Add a custom appender */
val myAppender = { ev: log4sjs.LoggedEvent => ??? }
/* Add a custom appender, leaving others in place */
addLoggerAppender("org.example", myAppender)
/* Set the specific appenders. The `additive` parameter controls whether
* this is in addition to the appenders of the parent logger. The `false`
* here means to *not* include any parent appenders. */
setLoggerAppenders("org.log4s.audit", false, Seq(myAppender))
/* The `true` here means that myAppender` from the `audit` logger will still
* be called since it allows additive inheritance. */
val appender2 = { ev: log4sjs.LoggedEvent => ??? }
setLoggerAppenders("org.log4s.audit.detailed", true, Seq(appender2))
/* Resets the logger to default settings. This also adjusts the
* `org.log4s.audit.detailed` appenders, since that logger inherits
* appenders from its parents */
resetLoggerAppenders("org.log4s.audit")
}
JavaScript direct usage
To JavaScript, Log4s exposes a few key methods as a module so that you can access logging facilities from any JavaScript code you might have. You should consult the Scala.js documentation for how to get access to your modules from JavaScript.
Note that all the examples below will assume you have already imported the
module under the name log4s
, which could look like this for a separately
packaged log4s.
var log4s = require('log4s-opt.js')
Basic logging
getLogger
is a top-level function that takes a String and gives you back a
logger object, just as you'd expect in Scala.
The methods on a logger are straightforward:
var logger = log4s.getLogger("org.log4s")
logger.debug("testing")
if (logger.isWarnEnabled) {
logger.warn("Something went wrong", new Error())
}
The names of the log levels are the same as in Scala. Note that doing trace-level logging does not trigger the JavaScript's console trace, which automatically dumps a stack trace. if you want this behavior, you can always add a custom appender that inspects the level. If you have advanced needs in this area, please file a feature request.
MDCs in JavaScript
The MDC is available through JavaScript just as it is in Scala. Here's an example
/* Clear the MDC before we start */
log4s.MDC.clear()
log4s.MDC.put("user", "john.doe")
/* Do some logging */
log4s.MDC.remove("user")
/* Fetch an MDC value (usually not recommended) */
log4s.MDC.get("user")
/* Or get a copy of the entire MDC (also not usually recommended) */
log4s.MDC.getCopyOfContextMap()
Just as in Scala, there's a "with context" method that automatically handles any cleanup for you. It's not quite as convenient in JavaScript as in Scala, but it can still be a good way to ensure your MDC gets cleaned up. These are curried functions: you pass it a context and then it gives you new function to which you pass a zero-argument function that does the work.
var logger = log4s.getLogger("com.example")
/* With a single MDC value */
log4s.MDC.withCtx("user", "jane.roe")(() => {
/* Do some stuff */
logger.debug("User did something")
})
/* With several MDC values */
log4s.MDC.withCtx({"user": "benway", "query": "1234"})(() => {
/* Do some stuff */
logger.debug("Use with complext context did something")
})
JavaScript Configuration Objects
The same basic methods that you would use to do Scala-defined configuration are available through JavaScript. See the documentation above for details on how to use them.
log4s.Config.setLoggerThreshold("org.log4s", log4s.Info)
log4s.Config.resetLoggerThreshold("org.log4s")
log4s.Config.addLoggerAppender("org", e => console.log(e.level.name + ": " + e.message))
log4s.Config.setLoggerAppenders("org.test", false, [e => console.log(e.message)])
log4s.Config.resetLoggerAppenders("org")
Appenders can be created by passing in a JavaScript function.
For parameters, there are top-level threshold/level objects available:
AllThreshold
Trace
Debug
Info
Warn
Error
OffThreshold
Log4s-Testing
There is a Logback-specific testing library that allows you to do mock-object style testing of your log messages if you'd like. This was built for internal testing of Log4s, but it has been made public by request.
Setup
This only works if you are using Logback as your logging framework, at least during testing. (Doing this will not interfere with using a different framework for your runtime logging if you correctly configure the two classpaths.)
SBT config
libraryDependencies += "org.log4s" %% "log4s-testing" % log4sVersion % "test"
I recommend you use a val log4sVersion
to match the version number with the
main Log4s dependency.
Logback config
You'll then want to add lines like the following in your logback-test.xml
<appender name="TEST" class="org.log4s.TestAppender"/>
<logger name="org.log4s.abc" additivity="false" level="TRACE">
<!-- Set additivity to `false` if you don't want this logging to actually go to the main output. -->
<appender-ref ref="TEST" />
</logger>
Full documentation of this is beyond the scope of this document, but you need to create the custom appender and register it with the appropriate categories. Note that Logback's Groovy-based configuration is more convenient and flexible than the XML for more complicated logging configurations, but it's less familiar and adds an extra runtime dependency on Groovy.
Usage
The steps are relatively simple
- Get access to a logger that hooked up to your appender
- Write one or more events to that logger
- Call into the TestAppender object to dequeue the events and inspect them
Here's a simple example of code you might write:
import org.log4s._
import org.scalatest._
/* An auto-named logger would work just as well as long as that logger
* is hooked up in your Logback configuration. */
val testLogger = getLogger("org.log4s.abc")
TestAppender.withAppender() {
testLogger.debug("Here's a test message")
val eventOpt = TestAppender.dequeue
eventOpt should be ('defined)
eventOpt foreach { e =>
e.message should equal ("Here's a test message")
e.throwable should not be 'defined
}
}
More examples are available if you look through the various test classes in this project.
Should I test my logging?
Testing scope and philosophy is a complex topic far beyond the reach of this docuemnt, but I can give some general guidance based on my personal views.
Good tests validate the behavior that callers or users should expect when interacting with your code, but not arbitrary implementation details. Quality tests don't fail just because you changed something—unless that thing impacts the expected behavior of the code. My view is effectively that tests should attempt to fully verify the black-box behavior of a piece of code while ignoring details that do not affect black-box behavior. (However, white-box development techniques may be useful to provide this verification, and judgment is required in the drawing of the lines.)
I'll give two examples.
At one extreme is a trace statement that is used for developer debugging. You probably would not benefit from crying wolf with a test failure just because you added an additional bit of detail to a debug statement or you changed its punctuation. In my opinion, this log statement is probably not part of the code's specification and should not be tested.
At the other extreme would be a scenario where you're using your logging framework to generate audit logs that track access to secured resources. This is important functionality that may be required for regulatory compliance. It is strongly advisable to develop tests that ensure this log is written as expected. I would probably consider a white-box unit test to ensure the messages went to the right logger in the right format and a black-box test that inspected the actual output log files to ensure events were being written in an end-to-end manner.
Most real situations will lie between these two extremes, and you will need to use judgment. In my estimation, most applications probably do not need or want tests that verify the details of their logging, but there are many situations where this testing is approrpiate.
Unsupported features
The following potential or suggested features are not implemented. If some missing feature is particularly valuable to you, feel free to reach out with your requests or suggestions. I'm also—of course—open to pull requests, but please drop me an email first if there are significant new APIs or features so we can agree on the general design.
- A
scalac
compiler flag or environment variable to automatically disable all logging below a certain level. - Marker support.
CVE-2021-44228 ("log4shell")
log4s delegates all logging operations to slf4j. log4s is not directly at risk from CVE-2021-44228, but your configured slf4j provider may put you at risk. See slf4j's comments on CVE-2021-44228 for more.
Contributors
Maintainers
- Sarah Gerweck (creator & primary maintainer)
- Ross A. Baker
Additional contributors
Here are all other contributors, listed chronologically. Thanks to all!
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https://github.com/com-lihaoyi/Ammonite
Scala Scripting. Contribute to com-lihaoyi/Ammonite development by creating an account on GitHub.
- 35Slick (Scala Language Integrated Connection Kit) is a modern database query and access library for Scala
https://github.com/slick/slick
Slick (Scala Language Integrated Connection Kit) is a modern database query and access library for Scala - slick/slick
- 36Property-based testing for Scala
https://github.com/typelevel/scalacheck
Property-based testing for Scala. Contribute to typelevel/scalacheck development by creating an account on GitHub.
- 37Simpler DynamoDB access for Scala
https://github.com/scanamo/scanamo
Simpler DynamoDB access for Scala. Contribute to scanamo/scanamo development by creating an account on GitHub.
- 38Type-Safe framework for defining, modifying, and querying SQL databases
https://github.com/outr/scalarelational
Type-Safe framework for defining, modifying, and querying SQL databases - outr/scalarelational
- 39ScalaFX simplifies creation of JavaFX-based user interfaces in Scala
https://github.com/scalafx/scalafx
ScalaFX simplifies creation of JavaFX-based user interfaces in Scala - scalafx/scalafx
- 40Performant database access in Scala
https://github.com/lucidsoftware/relate
Performant database access in Scala. Contribute to lucidsoftware/relate development by creating an account on GitHub.
- 41Scala library for boilerplate-free validation
https://github.com/krzemin/octopus
Scala library for boilerplate-free validation. Contribute to krzemin/octopus development by creating an account on GitHub.
- 42Connect a Scala REPL to running JVM processes without any prior setup
https://github.com/xitrum-framework/scalive
Connect a Scala REPL to running JVM processes without any prior setup - xitrum-framework/scalive
- 43A ZIO-based redis client
https://github.com/zio/zio-redis
A ZIO-based redis client. Contribute to zio/zio-redis development by creating an account on GitHub.
- 44Tiny Scala high-performance, async web framework, inspired by Sinatra
https://github.com/scalatra/scalatra
Tiny Scala high-performance, async web framework, inspired by Sinatra - scalatra/scalatra
- 45Reactive data-binding for Scala
https://github.com/ThoughtWorksInc/Binding.scala
Reactive data-binding for Scala. Contribute to ThoughtWorksInc/Binding.scala development by creating an account on GitHub.
- 46The Anorm database library
https://github.com/playframework/anorm
The Anorm database library. Contribute to playframework/anorm development by creating an account on GitHub.
- 47A module for the Play Framework to build highly modular applications
https://github.com/splink/pagelets
A module for the Play Framework to build highly modular applications - splink/pagelets
- 48I/O and Microservice library for Scala
https://github.com/tumblr/colossus
I/O and Microservice library for Scala. Contribute to tumblr/colossus development by creating an account on GitHub.
- 49Scala library to sign HTTP requests to AWS services.
https://github.com/ticofab/aws-request-signer
Scala library to sign HTTP requests to AWS services. - ticofab/aws-request-signer
- 50Next generation user interface and application development in Scala and Scala.js for web, mobile, and desktop.
https://github.com/outr/youi
Next generation user interface and application development in Scala and Scala.js for web, mobile, and desktop. - outr/youi
- 51Statistical Machine Intelligence & Learning Engine
https://github.com/haifengl/smile
Statistical Machine Intelligence & Learning Engine - haifengl/smile
- 52Microbenchmarking and performance regression testing framework for the JVM platform.
https://github.com/scalameter/scalameter
Microbenchmarking and performance regression testing framework for the JVM platform. - scalameter/scalameter
- 53A testing tool for Scala and Java developers
https://github.com/scalatest/scalatest
A testing tool for Scala and Java developers. Contribute to scalatest/scalatest development by creating an account on GitHub.
- 54:monorail: "Scala on Rails" - A full-stack web app framework for rapid development in Scala
https://github.com/skinny-framework/skinny-framework
:monorail: "Scala on Rails" - A full-stack web app framework for rapid development in Scala - skinny-framework/skinny-framework
- 55Molecule translates custom Scala code to database queries for multiple databases.
https://github.com/scalamolecule/molecule
Molecule translates custom Scala code to database queries for multiple databases. - scalamolecule/molecule
- 56Cryptographic primitives for Scala
https://github.com/input-output-hk/scrypto
Cryptographic primitives for Scala. Contribute to input-output-hk/scrypto development by creating an account on GitHub.
- 57A lightweight framework for writing REST services in Scala.
https://github.com/mesosphere/chaos
A lightweight framework for writing REST services in Scala. - mesosphere/chaos
- 58Async and clustered Scala web framework and HTTP(S) server
https://github.com/xitrum-framework/xitrum
Async and clustered Scala web framework and HTTP(S) server - xitrum-framework/xitrum
- 59A distributed tracing extension for Akka. Provides integration with Play framework, Spray and Akka HTTP.
https://github.com/levkhomich/akka-tracing
A distributed tracing extension for Akka. Provides integration with Play framework, Spray and Akka HTTP. - levkhomich/akka-tracing
- 60A simple FRP library and a web UI framework built on it
https://github.com/nafg/reactive
A simple FRP library and a web UI framework built on it - nafg/reactive
- 61Facebook's React on Scala.JS
https://github.com/japgolly/scalajs-react
Facebook's React on Scala.JS. Contribute to japgolly/scalajs-react development by creating an account on GitHub.
- 62Figaro Programming Language and Core Libraries
https://github.com/charles-river-analytics/figaro
Figaro Programming Language and Core Libraries. Contribute to charles-river-analytics/figaro development by creating an account on GitHub.
- 63Optimus is a mathematical programming library for Scala.
https://github.com/vagmcs/Optimus
Optimus is a mathematical programming library for Scala. - vagmcs/Optimus
- 64Fast JSON parser/generator for Scala
https://github.com/gzoller/ScalaJack
Fast JSON parser/generator for Scala. Contribute to gzoller/ScalaJack development by creating an account on GitHub.
- 65Apache Spark - A unified analytics engine for large-scale data processing
https://github.com/apache/spark
Apache Spark - A unified analytics engine for large-scale data processing - apache/spark
- 66scala SQL api
https://github.com/wangzaixiang/scala-sql
scala SQL api. Contribute to wangzaixiang/scala-sql development by creating an account on GitHub.
- 67Scala support library for integrating the JSON API spec with Spray, Play! or Circe
https://github.com/scala-jsonapi/scala-jsonapi
Scala support library for integrating the JSON API spec with Spray, Play! or Circe - scala-jsonapi/scala-jsonapi
- 68Scala code generator for Avro schemas.
https://github.com/malcolmgreaves/avro-codegen
Scala code generator for Avro schemas. Contribute to malcolmgreaves/avro-codegen development by creating an account on GitHub.
- 69Protocol buffer compiler for Scala.
https://github.com/scalapb/ScalaPB
Protocol buffer compiler for Scala. Contribute to scalapb/ScalaPB development by creating an account on GitHub.
- 70Functional JDBC layer for Scala.
https://github.com/tpolecat/doobie
Functional JDBC layer for Scala. Contribute to tpolecat/doobie development by creating an account on GitHub.
- 71CPU and GPU-accelerated Machine Learning Library
https://github.com/BIDData/BIDMach
CPU and GPU-accelerated Machine Learning Library. Contribute to BIDData/BIDMach development by creating an account on GitHub.
- 72Graph for Scala is intended to provide basic graph functionality seamlessly fitting into the Scala Collection Library. Like the well known members of scala.collection, Graph for Scala is an in-memory graph library aiming at editing and traversing graphs, finding cycles etc. in a user-friendly way.
https://github.com/scala-graph/scala-graph
Graph for Scala is intended to provide basic graph functionality seamlessly fitting into the Scala Collection Library. Like the well known members of scala.collection, Graph for Scala is an in-memo...
- 73Axle Domain Specific Language for Scientific Cloud Computing and Visualization
https://github.com/axlelang/axle
Axle Domain Specific Language for Scientific Cloud Computing and Visualization - axlelang/axle
- 74Lightweight and fast serialization library for Scala 2/3 based on Protocol Buffers with macros
https://github.com/zero-deps/proto
Lightweight and fast serialization library for Scala 2/3 based on Protocol Buffers with macros - zero-deps/proto
- 75Scala Uniquely Bound Classes Under Traits
https://github.com/dickwall/subcut
Scala Uniquely Bound Classes Under Traits. Contribute to dickwall/subcut development by creating an account on GitHub.
- 76Highly available distributed strong eventual consistent and sequentially consistent storage with feeds, sorting and search
https://github.com/zero-deps/kvs
Highly available distributed strong eventual consistent and sequentially consistent storage with feeds, sorting and search - zero-deps/kvs
- 77Single Page Applications running on the server side.
https://github.com/fomkin/korolev
Single Page Applications running on the server side. - fomkin/korolev
- 78A foundational framework for distributed programming.
https://github.com/reactors-io/reactors
A foundational framework for distributed programming. - reactors-io/reactors
- 79A dimensional analysis library based on dependent types
https://github.com/to-ithaca/libra
A dimensional analysis library based on dependent types - to-ithaca/libra
- 80CSV handling library for Scala
https://github.com/nrinaudo/kantan.csv
CSV handling library for Scala. Contribute to nrinaudo/kantan.csv development by creating an account on GitHub.
- 81MessagePack serializer implementation for Scala / msgpack.org[Scala]
https://github.com/msgpack/msgpack-scala
MessagePack serializer implementation for Scala / msgpack.org[Scala] - msgpack/msgpack-scala
- 82uPickle: a simple, fast, dependency-free JSON & Binary (MessagePack) serialization library for Scala
https://github.com/com-lihaoyi/upickle
uPickle: a simple, fast, dependency-free JSON & Binary (MessagePack) serialization library for Scala - com-lihaoyi/upickle
- 83a simple Scala CLI parsing library
https://github.com/scallop/scallop
a simple Scala CLI parsing library. Contribute to scallop/scallop development by creating an account on GitHub.
- 84Add-on module for Jackson (https://github.com/FasterXML/jackson) to support Scala-specific datatypes
https://github.com/FasterXML/jackson-module-scala
Add-on module for Jackson (https://github.com/FasterXML/jackson) to support Scala-specific datatypes - FasterXML/jackson-module-scala
- 85Type-safe data migration tool for Slick, Git and beyond.
https://github.com/lastland/scala-forklift
Type-safe data migration tool for Slick, Git and beyond. - lastland/scala-forklift
- 86A tidy SQL-based DB access library for Scala developers. This library naturally wraps JDBC APIs and provides you easy-to-use APIs.
https://github.com/scalikejdbc/scalikejdbc
A tidy SQL-based DB access library for Scala developers. This library naturally wraps JDBC APIs and provides you easy-to-use APIs. - scalikejdbc/scalikejdbc
- 87Scala compiler plugin that acts like GNU xgettext command to extract i18n strings in Scala source code files to Gettext .po file
https://github.com/xitrum-framework/scala-xgettext
Scala compiler plugin that acts like GNU xgettext command to extract i18n strings in Scala source code files to Gettext .po file - xitrum-framework/scala-xgettext
- 88REScala - distributed and reactive programming embedded in OO and FP programs.
https://github.com/rescala-lang/REScala
REScala - distributed and reactive programming embedded in OO and FP programs. - rescala-lang/REScala
- 89Scala classpath scanner
https://github.com/xitrum-framework/sclasner
Scala classpath scanner. Contribute to xitrum-framework/sclasner development by creating an account on GitHub.
- 90Iteratees for Cats
https://github.com/travisbrown/iteratee
Iteratees for Cats. Contribute to travisbrown/iteratee development by creating an account on GitHub.
- 91Fast, secure JSON library with tight ZIO integration.
https://github.com/zio/zio-json
Fast, secure JSON library with tight ZIO integration. - zio/zio-json
- 92Schema registry for CSV, TSV, JSON, AVRO and Parquet schema. Supports schema inference and GraphQL API.
https://github.com/indix/schemer
Schema registry for CSV, TSV, JSON, AVRO and Parquet schema. Supports schema inference and GraphQL API. - indix/schemer
- 93Play2.x Authentication and Authorization module
https://github.com/t2v/play2-auth
Play2.x Authentication and Authorization module. Contribute to t2v/play2-auth development by creating an account on GitHub.
- 94Jawn is for parsing jay-sawn (JSON)
https://github.com/typelevel/jawn
Jawn is for parsing jay-sawn (JSON). Contribute to typelevel/jawn development by creating an account on GitHub.
- 95An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3
https://github.com/EmergentOrder/onnx-scala
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3 - EmergentOrder/onnx-scala
- 96Labeled records for Scala based on structural refinement types and macros.
https://github.com/scala-records/scala-records
Labeled records for Scala based on structural refinement types and macros. - scala-records/scala-records
- 97Breeze is a numerical processing library for Scala.
https://github.com/scalanlp/breeze
Breeze is a numerical processing library for Scala. - scalanlp/breeze
- 98Scala Library for Reading Flat File Data (CSV/TSV/XLS/XLSX)
https://github.com/frugalmechanic/fm-flatfile
Scala Library for Reading Flat File Data (CSV/TSV/XLS/XLSX) - frugalmechanic/fm-flatfile
- 99Platform to build distributed, scalable, enterprise-wide business applications
https://github.com/annetteplatform/annette
Platform to build distributed, scalable, enterprise-wide business applications - annetteplatform/annette
- 100Cassovary is a simple big graph processing library for the JVM
https://github.com/twitter/cassovary
Cassovary is a simple big graph processing library for the JVM - twitter/cassovary
- 101A concurrent reactive programming framework.
https://github.com/storm-enroute/reactors
A concurrent reactive programming framework. Contribute to storm-enroute/reactors development by creating an account on GitHub.
- 102Library to register and lookup actors by names in an Akka cluster
https://github.com/xitrum-framework/glokka
Library to register and lookup actors by names in an Akka cluster - xitrum-framework/glokka
- 103:cake: doddle-model: machine learning in Scala.
https://github.com/picnicml/doddle-model
:cake: doddle-model: machine learning in Scala. Contribute to picnicml/doddle-model development by creating an account on GitHub.
- 104A Scala API for Apache Beam and Google Cloud Dataflow.
https://github.com/spotify/scio
A Scala API for Apache Beam and Google Cloud Dataflow. - spotify/scio
- 105A mini Scala utility library
https://github.com/scala-hamsters/hamsters
A mini Scala utility library. Contribute to scala-hamsters/hamsters development by creating an account on GitHub.
- 106Powerful new number types and numeric abstractions for Scala.
https://github.com/typelevel/spire
Powerful new number types and numeric abstractions for Scala. - typelevel/spire
- 107A Persistence Framework for Scala and NoSQL
https://github.com/longevityframework/longevity
A Persistence Framework for Scala and NoSQL. Contribute to longevityframework/longevity development by creating an account on GitHub.
- 108Async lightweight Scala web framework
https://github.com/dvarelap/peregrine
Async lightweight Scala web framework. Contribute to dvarelap/peregrine development by creating an account on GitHub.
- 109CSV Reader/Writer for Scala
https://github.com/tototoshi/scala-csv
CSV Reader/Writer for Scala. Contribute to tototoshi/scala-csv development by creating an account on GitHub.
- 110A Thrift parser/generator
https://github.com/twitter/scrooge
A Thrift parser/generator. Contribute to twitter/scrooge development by creating an account on GitHub.
- 111N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types
https://github.com/SciScala/NDScala
N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types - SciScala/NDScala
- 112A JSR-310 port of nscala_time
https://github.com/chronoscala/chronoscala
A JSR-310 port of nscala_time. Contribute to chronoscala/chronoscala development by creating an account on GitHub.
- 113Lightweight Scala Dependency Injection Library
https://github.com/scaldi/scaldi
Lightweight Scala Dependency Injection Library. Contribute to scaldi/scaldi development by creating an account on GitHub.
- 114A fault tolerant, protocol-agnostic RPC system
https://github.com/twitter/finagle
A fault tolerant, protocol-agnostic RPC system. Contribute to twitter/finagle development by creating an account on GitHub.
- 115Scala library for accessing various file, batch systems, job schedulers and grid middlewares.
https://github.com/openmole/gridscale
Scala library for accessing various file, batch systems, job schedulers and grid middlewares. - openmole/gridscale
- 116JVM - Java, Kotlin, Scala image processing library
https://github.com/sksamuel/scrimage
JVM - Java, Kotlin, Scala image processing library - sksamuel/scrimage
- 117A group of neural-network libraries for functional and mainstream languages
https://github.com/mrdimosthenis/Synapses
A group of neural-network libraries for functional and mainstream languages - mrdimosthenis/Synapses
- 118Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka.
https://github.com/akka/alpakka-kafka
Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka. - akka/alpakka-kafka
- 119Productivity-oriented collection of lightweight fancy stuff for Scala toolchain
https://github.com/7mind/izumi
Productivity-oriented collection of lightweight fancy stuff for Scala toolchain - 7mind/izumi
- 120Real Time Analytics and Data Pipelines based on Spark Streaming
https://github.com/Stratio/sparta
Real Time Analytics and Data Pipelines based on Spark Streaming - Stratio/sparta
- 121C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.
https://github.com/Clustering4Ever/Clustering4Ever
C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering. - Clustering4Ever/Clustering4Ever
- 122Scala extensions for Google Guice
https://github.com/codingwell/scala-guice
Scala extensions for Google Guice. Contribute to codingwell/scala-guice development by creating an account on GitHub.
- 123Purely functional genetic algorithms for multi-objective optimisation
https://github.com/openmole/mgo
Purely functional genetic algorithms for multi-objective optimisation - openmole/mgo
- 124A composable command-line parser for Scala.
https://github.com/bkirwi/decline
A composable command-line parser for Scala. Contribute to bkirwi/decline development by creating an account on GitHub.
- 125ABANDONED Pure Scala serialization library with annotations
https://github.com/fomkin/pushka
ABANDONED Pure Scala serialization library with annotations - fomkin/pushka
- 126Modify deeply nested case class fields
https://github.com/softwaremill/quicklens
Modify deeply nested case class fields. Contribute to softwaremill/quicklens development by creating an account on GitHub.
- 127Non-blocking, ultra-fast Scala Redis client built on top of Akka IO, used in production at Livestream
https://github.com/Livestream/scredis
Non-blocking, ultra-fast Scala Redis client built on top of Akka IO, used in production at Livestream - Livestream/scredis
- 128RxScala – Reactive Extensions for Scala – a library for composing asynchronous and event-based programs using observable sequences
https://github.com/ReactiveX/RxScala
RxScala – Reactive Extensions for Scala – a library for composing asynchronous and event-based programs using observable sequences - ReactiveX/RxScala
- 129Asynchronous, Reactive Programming for Scala and Scala.js.
https://github.com/monix/monix
Asynchronous, Reactive Programming for Scala and Scala.js. - monix/monix
- 130Easy way to create Free Monad using Scala macros with first-class Intellij support.
https://github.com/Thangiee/Freasy-Monad
Easy way to create Free Monad using Scala macros with first-class Intellij support. - Thangiee/Freasy-Monad
- 131Eff monad for cats - https://atnos-org.github.io/eff
https://github.com/atnos-org/eff
Eff monad for cats - https://atnos-org.github.io/eff - atnos-org/eff
- 132The missing MatPlotLib for Scala + Spark
https://github.com/vegas-viz/Vegas
The missing MatPlotLib for Scala + Spark. Contribute to vegas-viz/Vegas development by creating an account on GitHub.
- 133Scala extensions for the Kryo serialization library
https://github.com/twitter/chill
Scala extensions for the Kryo serialization library - twitter/chill
- 134Minimal, type-safe RPC Scala library.
https://github.com/yakivy/poppet
Minimal, type-safe RPC Scala library. Contribute to yakivy/poppet development by creating an account on GitHub.
- 135Reactive Microservices for the JVM
https://github.com/lagom/lagom
Reactive Microservices for the JVM. Contribute to lagom/lagom development by creating an account on GitHub.
- 136A scala extension for Project Reactor's Flux and Mono
https://github.com/spring-attic/reactor-scala-extensions
A scala extension for Project Reactor's Flux and Mono - spring-attic/reactor-scala-extensions
- 137Scala testing library with actionable errors and extensible APIs
https://github.com/scalameta/munit
Scala testing library with actionable errors and extensible APIs - scalameta/munit
- 138Scala wrapper for SnakeYAML
https://github.com/jcazevedo/moultingyaml
Scala wrapper for SnakeYAML. Contribute to jcazevedo/moultingyaml development by creating an account on GitHub.
- 139SynapseGrid is a framework for constructing dynamic low latency data flow systems.
https://github.com/Primetalk/SynapseGrid
SynapseGrid is a framework for constructing dynamic low latency data flow systems. - Primetalk/SynapseGrid
- 140Distributed NoSQL Database
https://github.com/stephenmcd/curiodb
Distributed NoSQL Database. Contribute to stephenmcd/curiodb development by creating an account on GitHub.
- 141Abstract Algebra for Scala
https://github.com/twitter/algebird
Abstract Algebra for Scala. Contribute to twitter/algebird development by creating an account on GitHub.
- 142Spark package to "plug" holes in data using SQL based rules ⚡️ 🔌
https://github.com/indix/sparkplug
Spark package to "plug" holes in data using SQL based rules ⚡️ 🔌 - GitHub - indix/sparkplug: Spark package to "plug" holes in data using SQL based rules ⚡️ 🔌
- 143A simple testing framework for Scala
https://github.com/com-lihaoyi/utest
A simple testing framework for Scala. Contribute to com-lihaoyi/utest development by creating an account on GitHub.
- 144Scalable Image Analysis and Shape Modelling
https://github.com/unibas-gravis/scalismo
Scalable Image Analysis and Shape Modelling. Contribute to unibas-gravis/scalismo development by creating an account on GitHub.
- 145Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
https://github.com/apache/zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. - apache/zeppelin
- 146Mutation testing for Scala
https://github.com/stryker-mutator/stryker4s
Mutation testing for Scala. Contribute to stryker-mutator/stryker4s development by creating an account on GitHub.
- 147Streaming MapReduce with Scalding and Storm
https://github.com/twitter/summingbird
Streaming MapReduce with Scalding and Storm. Contribute to twitter/summingbird development by creating an account on GitHub.
- 148A library that toggles Scala code at compile-time, like #if in C/C++
https://github.com/ThoughtWorksInc/enableIf.scala
A library that toggles Scala code at compile-time, like #if in C/C++ - ThoughtWorksInc/enableIf.scala
- 149Casbah is now officially end-of-life (EOL).
https://github.com/mongodb/casbah
Casbah is now officially end-of-life (EOL). Contribute to mongodb/casbah development by creating an account on GitHub.
- 150Build highly concurrent, distributed, and resilient message-driven applications on the JVM
https://github.com/akka/akka
Build highly concurrent, distributed, and resilient message-driven applications on the JVM - akka/akka
- 151A framework to create embedded Domain-Specific Languages in Scala
https://github.com/ThoughtWorksInc/Dsl.scala
A framework to create embedded Domain-Specific Languages in Scala - ThoughtWorksInc/Dsl.scala
- 152Scala library for boilerplate-free, type-safe data transformations
https://github.com/scalalandio/chimney
Scala library for boilerplate-free, type-safe data transformations - scalalandio/chimney
- 153Interactive and Reactive Data Science using Scala and Spark.
https://github.com/spark-notebook/spark-notebook
Interactive and Reactive Data Science using Scala and Spark. - spark-notebook/spark-notebook
- 154TensorFlow API for the Scala Programming Language
https://github.com/eaplatanios/tensorflow_scala
TensorFlow API for the Scala Programming Language. Contribute to eaplatanios/tensorflow_scala development by creating an account on GitHub.
- 155numsca is numpy for scala
https://github.com/botkop/numsca
numsca is numpy for scala. Contribute to botkop/numsca development by creating an account on GitHub.
- 156A cohesive & pragmatic framework of FP centric Scala libraries
https://github.com/frees-io/freestyle
A cohesive & pragmatic framework of FP centric Scala libraries - frees-io/freestyle
- 157Build software better, together
https://github.com/Sciss/ScalaCollider
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
- 158A lightweight, clean and simple JSON implementation in Scala
https://github.com/spray/spray-json
A lightweight, clean and simple JSON implementation in Scala - spray/spray-json
- 159A new Scala wrapper for Joda Time based on scala-time
https://github.com/nscala-time/nscala-time
A new Scala wrapper for Joda Time based on scala-time - nscala-time/nscala-time
- 160Convenient and performant logging library for Scala wrapping SLF4J.
https://github.com/lightbend-labs/scala-logging
Convenient and performant logging library for Scala wrapping SLF4J. - lightbend-labs/scala-logging
- 161Blindsight is a Scala logging API with DSL based structured logging, fluent logging, semantic logging, flow logging, and context aware logging.
https://github.com/tersesystems/blindsight
Blindsight is a Scala logging API with DSL based structured logging, fluent logging, semantic logging, flow logging, and context aware logging. - tersesystems/blindsight
- 162Command Line Interface Scala Toolkit
https://github.com/backuity/clist
Command Line Interface Scala Toolkit. Contribute to backuity/clist development by creating an account on GitHub.
- 163command line options parsing for Scala
https://github.com/scopt/scopt
command line options parsing for Scala. Contribute to scopt/scopt development by creating an account on GitHub.
- 164Schema safe, type-safe, reactive Scala driver for Cassandra/Datastax Enterprise
https://github.com/outworkers/phantom
Schema safe, type-safe, reactive Scala driver for Cassandra/Datastax Enterprise - outworkers/phantom
- 165A Scala API for Cascading
https://github.com/twitter/scalding
A Scala API for Cascading. Contribute to twitter/scalding development by creating an account on GitHub.
- 166The fastest logging library in the world. Built from scratch in Scala and programmatically configurable.
https://github.com/outr/scribe
The fastest logging library in the world. Built from scratch in Scala and programmatically configurable. - outr/scribe
- 167State of the Art Natural Language Processing
https://github.com/JohnSnowLabs/spark-nlp
State of the Art Natural Language Processing. Contribute to JohnSnowLabs/spark-nlp development by creating an account on GitHub.
- 168Essential Building Blocks for Scala
https://github.com/wvlet/airframe
Essential Building Blocks for Scala. Contribute to wvlet/airframe development by creating an account on GitHub.
- 169ZIO — A type-safe, composable library for async and concurrent programming in Scala
https://github.com/zio/zio
ZIO — A type-safe, composable library for async and concurrent programming in Scala - zio/zio
- 170Lightweight, modular, and extensible library for functional programming.
https://github.com/typelevel/cats
Lightweight, modular, and extensible library for functional programming. - typelevel/cats
- 171Scala validation library
https://github.com/jap-company/fields
Scala validation library. Contribute to jap-company/fields development by creating an account on GitHub.
- 172Cask: a Scala HTTP micro-framework
https://github.com/com-lihaoyi/cask
Cask: a Scala HTTP micro-framework. Contribute to com-lihaoyi/cask development by creating an account on GitHub.
- 173Slick extensions for PostgreSQL
https://github.com/tminglei/slick-pg
Slick extensions for PostgreSQL. Contribute to tminglei/slick-pg development by creating an account on GitHub.
- 174First class syntax support for type classes in Scala
https://github.com/typelevel/simulacrum
First class syntax support for type classes in Scala - typelevel/simulacrum
- 175Persist-Json, a Fast Json Parser Written in Scala
https://github.com/nestorpersist/json
Persist-Json, a Fast Json Parser Written in Scala. Contribute to nestorpersist/json development by creating an account on GitHub.
- 176Refinement types for Scala
https://github.com/fthomas/refined
Refinement types for Scala. Contribute to fthomas/refined development by creating an account on GitHub.
- 177Generic programming for Scala
https://github.com/milessabin/shapeless
Generic programming for Scala. Contribute to milessabin/shapeless development by creating an account on GitHub.
- 178Lift Framework
https://github.com/lift/framework
Lift Framework. Contribute to lift/framework development by creating an account on GitHub.
- 179Fast, testable, Scala services built on TwitterServer and Finagle
https://github.com/twitter/finatra
Fast, testable, Scala services built on TwitterServer and Finagle - twitter/finatra
- 180Build software better, together
https://github.com/wireapp/wire-signals
GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
- 181The Opinionated RabbitMQ Library for Scala and Akka
https://github.com/SpinGo/op-rabbit
The Opinionated RabbitMQ Library for Scala and Akka - SpinGo/op-rabbit
- 182JSON typeclasses that know the difference between null and absent fields
https://github.com/nrktkt/ninny-json
JSON typeclasses that know the difference between null and absent fields - nrktkt/ninny-json
- 183Scala macros for compile-time generation of safe and ultra-fast JSON codecs + circe booster
https://github.com/plokhotnyuk/jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON codecs + circe booster - plokhotnyuk/jsoniter-scala
- 184LoMRF is an open-source implementation of Markov Logic Networks
https://github.com/anskarl/LoMRF
LoMRF is an open-source implementation of Markov Logic Networks - anskarl/LoMRF
- 185property based testing library for Scala
https://github.com/scalaprops/scalaprops
property based testing library for Scala. Contribute to scalaprops/scalaprops development by creating an account on GitHub.
- 186Yet another JSON library for Scala
https://github.com/circe/circe
Yet another JSON library for Scala. Contribute to circe/circe development by creating an account on GitHub.
- 187Native Scala mocking framework
https://github.com/paulbutcher/ScalaMock
Native Scala mocking framework. Contribute to paulbutcher/ScalaMock development by creating an account on GitHub.
- 188OAuth 2.0 server-side implementation written in Scala
https://github.com/nulab/scala-oauth2-provider
OAuth 2.0 server-side implementation written in Scala - nulab/scala-oauth2-provider
- 189A small, convenient, dependency-free library for command-line argument parsing in Scala
https://github.com/com-lihaoyi/mainargs
A small, convenient, dependency-free library for command-line argument parsing in Scala - com-lihaoyi/mainargs
- 190Scala + Druid: Scruid. A library that allows you to compose queries in Scala, and parse the result back into typesafe classes.
https://github.com/ing-bank/scruid
Scala + Druid: Scruid. A library that allows you to compose queries in Scala, and parse the result back into typesafe classes. - ing-bank/scruid
- 191akka-persistence-gcp-datastore is a journal and snapshot store plugin for akka-persistence using google cloud firestore in datastore mode.
https://github.com/innFactory/akka-persistence-gcp-datastore
akka-persistence-gcp-datastore is a journal and snapshot store plugin for akka-persistence using google cloud firestore in datastore mode. - GitHub - innFactory/akka-persistence-gcp-datastore: akk...
- 192Mirror of Apache Kafka
https://github.com/apache/kafka
Mirror of Apache Kafka. Contribute to apache/kafka development by creating an account on GitHub.
- 193:leaves: Non-blocking, Reactive MongoDB Driver for Scala
https://github.com/ReactiveMongo/ReactiveMongo
:leaves: Non-blocking, Reactive MongoDB Driver for Scala - ReactiveMongo/ReactiveMongo
- 194Scala GraphQL implementation
https://github.com/sangria-graphql/sangria
Scala GraphQL implementation. Contribute to sangria-graphql/sangria development by creating an account on GitHub.
- 195Functional, stream-based CSV processor for Scala
https://github.com/fingo/spata
Functional, stream-based CSV processor for Scala. Contribute to fingo/spata development by creating an account on GitHub.
- 196ActiveRecord-like ORM library for Scala
https://github.com/aselab/scala-activerecord
ActiveRecord-like ORM library for Scala. Contribute to aselab/scala-activerecord development by creating an account on GitHub.
- 197A Future-free Fs2 native pure FP Redis client
https://github.com/laserdisc-io/laserdisc
A Future-free Fs2 native pure FP Redis client. Contribute to laserdisc-io/laserdisc development by creating an account on GitHub.
- 198Scala framework for building beautiful and maintainable web applications.
https://github.com/UdashFramework/udash-core
Scala framework for building beautiful and maintainable web applications. - UdashFramework/udash-core
- 199Main Portal page for the Jackson project
https://github.com/FasterXML/jackson
Main Portal page for the Jackson project. Contribute to FasterXML/jackson development by creating an account on GitHub.
- 200Library to read, analyze, transform and generate Scala programs
https://github.com/scalameta/scalameta
Library to read, analyze, transform and generate Scala programs - scalameta/scalameta
- 201Compositional, streaming I/O library for Scala
https://github.com/typelevel/fs2
Compositional, streaming I/O library for Scala. Contribute to typelevel/fs2 development by creating an account on GitHub.
- 202The Community Maintained High Velocity Web Framework For Java and Scala.
https://github.com/playframework/playframework
The Community Maintained High Velocity Web Framework For Java and Scala. - playframework/playframework
- 203Scala lightweight, type-safe, asynchronous driver for neo4j
https://github.com/neotypes/neotypes
Scala lightweight, type-safe, asynchronous driver for neo4j - GitHub - neotypes/neotypes: Scala lightweight, type-safe, asynchronous driver for neo4j
- 204Type-safe general-cryptography library - https://jmcardon.github.io/tsec/
https://github.com/jmcardon/tsec
Type-safe general-cryptography library - https://jmcardon.github.io/tsec/ - jmcardon/tsec
- 205JSON library
https://github.com/json4s/json4s
JSON library. Contribute to json4s/json4s development by creating an account on GitHub.
- 206Web & mobile client-side akka-http sessions, with optional JWT support
https://github.com/softwaremill/akka-http-session
Web & mobile client-side akka-http sessions, with optional JWT support - softwaremill/akka-http-session
- 207Lightweight and Nonintrusive Scala Dependency Injection Library
https://github.com/softwaremill/macwire
Lightweight and Nonintrusive Scala Dependency Injection Library - softwaremill/macwire
- 208Rings: efficient JVM library for polynomial rings
https://github.com/PoslavskySV/rings
Rings: efficient JVM library for polynomial rings. Contribute to PoslavskySV/rings development by creating an account on GitHub.
- 209Typesafe, purely functional Computational Intelligence
https://github.com/ciren/cilib
Typesafe, purely functional Computational Intelligence - ciren/cilib
- 210An experimental library for Functional Reactive Programming in Scala
https://github.com/lihaoyi/scala.rx
An experimental library for Functional Reactive Programming in Scala - lihaoyi/scala.rx
- 211New ReactiveCouchbase driver using reactive-streams
https://github.com/ReactiveCouchbase/reactivecouchbase-rs-core
New ReactiveCouchbase driver using reactive-streams - ReactiveCouchbase/reactivecouchbase-rs-core
- 212Simple, safe and intuitive Scala I/O
https://github.com/pathikrit/better-files
Simple, safe and intuitive Scala I/O. Contribute to pathikrit/better-files development by creating an account on GitHub.
- 213Reactive type-safe Scala driver for SQL databases
https://github.com/outworkers/morpheus
Reactive type-safe Scala driver for SQL databases. Contribute to outworkers/morpheus development by creating an account on GitHub.
- 214Lamma schedule generator for Scala is a professional schedule generation library for periodic schedules like fixed income coupon payment, equity deravitive fixing date generation etc.
https://github.com/maxcellent/lamma
Lamma schedule generator for Scala is a professional schedule generation library for periodic schedules like fixed income coupon payment, equity deravitive fixing date generation etc. - GitHub - m...
- 215Tiny High Performance HTTP Server for Scala
https://github.com/analogweb/analogweb-scala
Tiny High Performance HTTP Server for Scala . Contribute to analogweb/analogweb-scala development by creating an account on GitHub.
- 216A test framework that runs everything in parallel.
https://github.com/disneystreaming/weaver-test
A test framework that runs everything in parallel. - GitHub - disneystreaming/weaver-test: A test framework that runs everything in parallel.
- 217Clickhouse Scala Client with Reactive Streams support
https://github.com/crobox/clickhouse-scala-client
Clickhouse Scala Client with Reactive Streams support - crobox/clickhouse-scala-client
- 218Memcached client for Scala
https://github.com/monix/shade
Memcached client for Scala. Contribute to monix/shade development by creating an account on GitHub.
- 219A schema-aware Scala library for data transformation
https://github.com/galliaproject/gallia-core
A schema-aware Scala library for data transformation - galliaproject/gallia-core
- 220Efficient CBOR and JSON (de)serialization in Scala
https://github.com/sirthias/borer
Efficient CBOR and JSON (de)serialization in Scala - sirthias/borer
- 221A purely functional Scala client for CouchDB
https://github.com/beloglazov/couchdb-scala
A purely functional Scala client for CouchDB. Contribute to beloglazov/couchdb-scala development by creating an account on GitHub.
- 222The Play JSON library
https://github.com/playframework/play-json
The Play JSON library. Contribute to playframework/play-json development by creating an account on GitHub.
- 223Image comparison by hash codes
https://github.com/poslegm/scala-phash
Image comparison by hash codes. Contribute to poslegm/scala-phash development by creating an account on GitHub.
- 224Avro schema generation and serialization / deserialization for Scala
https://github.com/sksamuel/avro4s
Avro schema generation and serialization / deserialization for Scala - sksamuel/avro4s
- 225Scala combinator library for working with binary data
https://github.com/scodec/scodec
Scala combinator library for working with binary data - scodec/scodec
- 226Minimal, idiomatic, customizable validation Scala library.
https://github.com/yakivy/dupin
Minimal, idiomatic, customizable validation Scala library. - yakivy/dupin
- 227An implementation of an OAuth2 server designed for mocking/testing
https://github.com/zalando-stups/OAuth2-mock-play
An implementation of an OAuth2 server designed for mocking/testing - zalando-stups/OAuth2-mock-play
- 228A type-safe, reflection-free, powerful enumeration implementation for Scala with exhaustive pattern match warnings and helpful integrations.
https://github.com/lloydmeta/enumeratum
A type-safe, reflection-free, powerful enumeration implementation for Scala with exhaustive pattern match warnings and helpful integrations. - lloydmeta/enumeratum
- 229Optics library for Scala
https://github.com/optics-dev/Monocle
Optics library for Scala. Contribute to optics-dev/Monocle development by creating an account on GitHub.
- 230Scala etcd client implementing V3 APIs
https://github.com/mingchuno/etcd4s
Scala etcd client implementing V3 APIs. Contribute to mingchuno/etcd4s development by creating an account on GitHub.
- 231An asynchronous programming facility for Scala
https://github.com/scala/scala-async
An asynchronous programming facility for Scala. Contribute to scala/scala-async development by creating an account on GitHub.
- 232Accord: A sane validation library for Scala
https://github.com/wix/accord
Accord: A sane validation library for Scala. Contribute to wix-incubator/accord development by creating an account on GitHub.
- 233A data access library for Scala + Postgres.
https://github.com/tpolecat/skunk
A data access library for Scala + Postgres. Contribute to typelevel/skunk development by creating an account on GitHub.
- 234tinylog is a lightweight logging framework for Java, Kotlin, Scala, and Android
https://github.com/tinylog-org/tinylog
tinylog is a lightweight logging framework for Java, Kotlin, Scala, and Android - tinylog-org/tinylog
- 235A purely functional library to build distributed and event-driven systems
https://github.com/parapet-io/parapet
A purely functional library to build distributed and event-driven systems - parapet-io/parapet
- 236Non-blocking, Reactive Redis driver for Scala (with Sentinel support)
https://github.com/etaty/rediscala
Non-blocking, Reactive Redis driver for Scala (with Sentinel support) - etaty/rediscala
- 237Wonderful reusable code from Twitter
https://github.com/twitter/util
Wonderful reusable code from Twitter. Contribute to twitter/util development by creating an account on GitHub.
- 238The Scala API for Quantities, Units of Measure and Dimensional Analysis
https://github.com/typelevel/squants
The Scala API for Quantities, Units of Measure and Dimensional Analysis - typelevel/squants
- 239Squid – type-safe metaprogramming and compilation framework for Scala
https://github.com/epfldata/squid
Squid – type-safe metaprogramming and compilation framework for Scala - epfldata/squid
- 240Principled Functional Programming in Scala
https://github.com/scalaz/scalaz
Principled Functional Programming in Scala. Contribute to scalaz/scalaz development by creating an account on GitHub.
- 241sbt plugin that generates Scala case classes for easy, statically typed and implicit access of JSON data e.g. from API responses
https://github.com/battermann/sbt-json
sbt plugin that generates Scala case classes for easy, statically typed and implicit access of JSON data e.g. from API responses - battermann/sbt-json
- 242Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.
https://github.com/intel-analytics/BigDL
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc,...
- 243Mockito for Scala language
https://github.com/mockito/mockito-scala
Mockito for Scala language. Contribute to mockito/mockito-scala development by creating an account on GitHub.
- 244High-performance SLF4J wrapper for Scala.
https://github.com/Log4s/log4s
High-performance SLF4J wrapper for Scala. Contribute to Log4s/log4s development by creating an account on GitHub.
- 245🔍 Elasticsearch Scala Client - Reactive, Non Blocking, Type Safe, HTTP Client
https://github.com/sksamuel/elastic4s
🔍 Elasticsearch Scala Client - Reactive, Non Blocking, Type Safe, HTTP Client - Philippus/elastic4s
- 246aossie / Agora · GitLab
https://gitlab.com/aossie/Agora/
An Electronic Voting Library implemented in Scala
- 247aossie / Scavenger · GitLab
https://gitlab.com/aossie/Scavenger
A theorem prover based on the conflict resolution calculus
- 248SBT plugin for tweaking various IDE settings
https://github.com/JetBrains/sbt-ide-settings
SBT plugin for tweaking various IDE settings. Contribute to JetBrains/sbt-ide-settings development by creating an account on GitHub.
- 249An HTTP Server and Client library for Scala.
https://github.com/criteo/lolhttp
An HTTP Server and Client library for Scala. Contribute to criteo/lolhttp development by creating an account on GitHub.
- 250Scalafmt · Code formatter for Scala
https://scalameta.org/scalafmt/
Code formatter for Scala
- 251sbt plugin that can check Maven and Ivy repositories for dependency updates
https://github.com/rtimush/sbt-updates
sbt plugin that can check Maven and Ivy repositories for dependency updates - rtimush/sbt-updates
- 252Scala command-line wrapper around ffmpeg, ffprobe, ImageMagick, and other tools relating to media.
https://github.com/outr/media4s
Scala command-line wrapper around ffmpeg, ffprobe, ImageMagick, and other tools relating to media. - outr/media4s
- 253friendly little parsers
https://github.com/tpolecat/atto
friendly little parsers. Contribute to tpolecat/atto development by creating an account on GitHub.
- 254simple combinator-based parsing for Scala. formerly part of the Scala standard library, now a separate community-maintained module
https://github.com/scala/scala-parser-combinators
simple combinator-based parsing for Scala. formerly part of the Scala standard library, now a separate community-maintained module - scala/scala-parser-combinators
Related Articlesto learn about angular.
- 1Introduction to Scala: Beginner’s Guide
- 2Understanding Scala’s Type System: Types and Generics
- 3Functional Programming with Scala
- 4Advanced Functional Programming in Scala: Monads, Functors, and More
- 5Building RESTful APIs with Scala and Akka HTTP: A Beginner’s Guide
- 6Play Framework for Scala Web Development: A Step-by-Step Guide
- 7Concurrency in Scala: Mastering Futures and Promises
- 8Optimizing Scala Performance: Tips for High-Performance Scala Applications
- 9Developing a Scala-based Chat Application: From Concept to Deployment
- 10Creating a Scala-based Data Processing Pipeline: Handling Big Data Efficiently
FAQ'sto learn more about Angular JS.
mail [email protected] to add more queries here 🔍.
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