Open Source Scala Internet Software for Windows

sttp client is an open-source library that provides a clean, programmer-friendly API to describe HTTP requests and how to handle responses. Requests are sent using one of the backends, which wrap other Scala or Java HTTP client implementations. The backends can integrate with a variety of Scala stacks, providing both synchronous and asynchronous, procedural and functional interfaces. Backend implementations include ones based on akka-http, http4s, OkHttp, and HTTP clients which ship with Java. They integrate with Akka, Monix, fs2, cats-effect, scalaz and ZIO. Supported Scala versions include 2.11, 2.12, 2.13 and 3, Scala.JS and Scala Native.

When I was learning Haskell, I missed the nice features of IntelliJ IDEA. My first approach was to use the default way of creating an IntelliJ plugin by defining a grammar and a lexer according to Haskell report. That didn't work out because I could not define all the recursion. Then I decided to use grammar and lexer definitions only for tokenizing and parsing Haskell code, and not for syntax checking the code. This is needed for syntax highlighting, all kinds of navigation, and so on. Further Haskell language support is provided with the help of external tools. Show error action to view formatted messages. Useful in case message consists of multiple lines (Ctrl-F10, Meta-F10 on Mac OSX); Intention actions to add language extension (depends on compiler error), add top-level type signature (depends on compiler warning). Intention action to select which module to import if the identifier is not in scope.

The Akka HTTP modules implement a full server- and client-side HTTP stack on top of akka-actor and akka-stream. It’s not a web framework but rather a more general toolkit for providing and consuming HTTP-based services. While interaction with a browser is of course also in scope it is not the primary focus of Akka HTTP. Akka HTTP follows a rather open design and many times offers several different API levels for “doing the same thing”. You get to pick the API level of abstraction that is most suitable for your application. This means that, if you have trouble achieving something using a high-level API, there’s a good chance that you can get it done with a low-level API, which offers more flexibility but might require you to write more application code. Akka HTTP has been driven with a clear focus on providing tools for building integration layers rather than application cores. As such it regards itself as a suite of libraries rather than a framework.

Http4s is a minimal, idiomatic Scala interface for HTTP services. Http4s is Scala's answer to Ruby's Rack, Python's WSGI, Haskell's WAI, and Java's Servlets. http4s servers and clients share an immutable model of requests and responses. Standard headers are modeled as semantic types, and entity codecs are done by typeclass. The pure functional side of Scala is favored to promote composability and easy reasoning about your code. I/O is managed through cats-effect. http4s is built on FS2, a streaming library that provides for processing and emitting large payloads in constant space and implementing websockets. http4s cross-builds for Scala.js and Scala Native. Share code and deploy to browsers, Node.js, native executable binaries, and the JVM.

AppCrawler is an automated mobile application testing tool designed to explore and interact with app user interfaces automatically. Built on top of the Appium automation framework, it systematically crawls through application screens and performs actions such as clicking buttons, navigating menus, and interacting with UI elements to simulate user behavior. It is commonly used for automated functional testing, UI exploration, and detecting crashes or unexpected behaviors in mobile applications. AppCrawler works by traversing the interface structure of an application and executing predefined or dynamically discovered actions on clickable components. Its behavior can be customized using configuration files that define traversal rules, element selection logic, and specific actions triggered by conditions encountered during testing. AppCrawler supports rule-based filtering such as blacklists and whitelists to control which elements are explored and which are ignored.

Infinispan is an open source, Java based data grid platform. ***IMPORTANT*** Starting with Infinispan 5.0.0.FINAL, Infinispan releases are no longer hosted in Sourceforge. They can now be located in www.jboss.org/infinispan/downloads

A novel database and a webtop based on a new theory of objects.

The asyncobjects framework is intendend for implementing event-driven network applications. It provides higher level API if compared with Java NIO. Initial code is based asyncobjects prototype from sebyla.sf.net project.

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Finch is a thin layer of purely functional basic blocks atop of Finagle for building composable HTTP APIs. Its mission is to provide the developers with simple and robust HTTP primitives being as close as possible to the bare metal Finagle API.

OpenSeaPad is a Etherpad Fork with improvments on the original Etherpad Software

Simple scala wrapper for HttpURLConnection. OAuth included. This is a fully featured http client for Scala which wraps java.net.HttpURLConnection. The library is thread safe. HttpRequest and HttpResponse are immutable. So it should be easy to wrap in an execution framework of your choice. If you're including this in some other public library. Do your users a favor and change the fully qualified name so they don't have version conflicts if they're using a different version of this library. The easiest way to do that is just to copy the source into your project.

SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit, and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.

Uniscala is a set of Scala APIs for business objects that supports a framework, called Granite, for business-oriented web applications based on Scala, Wicket and DB4O. Uniscala is strongly influenced by Zope.

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Elastic4s is a concise, idiomatic, reactive, type safe Scala client for Elasticsearch. The official Elasticsearch Java client can of course be used in Scala, but due to Java's syntax it is more verbose and it naturally doesn't support classes in the core Scala core library nor Scala idioms such as typeclass support. Elastic4s's DSL allows you to construct your requests programatically, with syntactic and semantic errors manifested at compile time, and uses standard Scala futures to enable you to easily integrate into an asynchronous workflow. The aim of the DSL is that requests are written in a builder-like way, while staying broadly similar to the Java API or Rest API. Each request is an immutable object, so you can create requests and safely reuse them, or further copy them for derived requests. Because each request is strongly typed your IDE or editor can use the type information to show you what operations are available for any request type.

An sbt plugin enhancing the evicted key. sbt has been gradually providing these features. As of sbt 1.5.0, all of the features of this plugin are now supported by sbt out of the box. Nevertheless, this plugin can be useful if you are stuck with an old version of sbt. Unlike the default evicted task, the eviction warnings task reports only problematic evictions (ie, libraries that have been evicted by binary incompatible versions). This task turns the eviction warnings into errors. It succeeds only if there are no eviction warnings in your build. You typically want to invoke this task in your CI, to make sure that no pull requests introduce eviction warnings. The recommended versioning scheme in the Scala ecosystem is a (stricter) variant of Semantic Versioning, but not all libraries follow this versioning scheme.