Open Source Scala Software Development Software - Page 3
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Scala Software Development Software
View 5795 business solutionsBrowse free open source Scala Software Development Software and projects below. Use the toggles on the left to filter open source Scala Software Development Software by OS, license, language, programming language, and project status.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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IMPORTANT: This project is no longer maintained. All the effort is targeted on project Radargun: http://radargun.sourceforge.net
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Cane is a Data Manipulation Interface(DMI) based on code behaviour analysis. Cane enable developers manipulate data in the way close to natural logical. Developers can finish their job in one continuous operation supplied by Cane's chain operation
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Cats Effect
The pure asynchronous runtime for Scala
Cats-Effect is a high-quality functional programming library for Scala that provides a principled way to represent and manage side effects, particularly asynchronous and concurrent computations. It is part of the broader Typelevel ecosystem and builds on the abstractions from Cats (such as Functor, Monad, etc.). The core abstraction is the IO type (or effect types more generally), which encodes effectful computations in a pure, referentially transparent way. Cats-Effect offers capabilities like deferred execution, cancellation, resource safety (Resource), fiber concurrency (lightweight threads), and interoperation with underlying runtime platforms (JVM, Java concurrency, etc.). It enables developers to write effectful code while preserving composability, purity, and modular reasoning about side effects. -
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Theme for WordPress Based in K2
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Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Chimney
Scala library for boilerplate-free, type-safe data transformations
Chimney is a Scala library that facilitates boilerplate-free, type-safe data transformations between different data types. It enables developers to define mappings between source and target types, ensuring that transformations are checked at compile time, thereby reducing runtime errors and enhancing code reliability. -
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Chipyard
An Agile RISC-V SoC Design Framework with in-order cores
Chipyard is a framework and generator for constructing custom RISC‑V SoC hardware. Built at UC Berkeley, it leverages Chisel/FIRRTL to generate full-stack systems—from CPU cores to peripherals—and includes simulators, FPGA deployment tools, and integration with Rocket Chip and other RISC‑V ecosystems. -
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CoSEEEK
Context-aware Software Engineering Environment Event-driven Framework
CoSEEEK is a framework that provides automated guidance for software developers during the development lifecycle. Its unique holistic approach amalgamates quality management, process management, context management, and knowledge management and can thus provide support attuned to the current project situation and the engineer’s context. One key goal of CoSEEEK was to develop techniques so that applicable guidance can be provided to an engineer (a CoSEEEK user) in an automated way based on their current context (context-awareness); taking into account what activities they have done and are likely to do based on their process workflow (process-orientation) using a workflow engine; current quality risks and issues for the project (quality management) are taken into account; and knowledge such as guidance is provisioned (e.g., providing checklist items). -
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Deequ
Deequ is a library built on top of Apache Spark
Deequ is a library built atop Apache Spark that enables defining “unit tests for data” — that is, formal constraints or checks on datasets to ensure data quality along dimensions such as completeness, uniqueness, value ranges, correlations, etc. It can scale to large datasets (billions of rows) by translating those data checks into Spark jobs. Deequ supports advanced features like a metrics repository for storing computed statistics over time, anomaly detection of data quality metrics, and the suggestion of likely constraints automatically for new datasets. It also includes a little domain-specific language called DQDL (Data Quality Definition Language) which allows declarative specification of quality rules. Users typically run Deequ before feeding data downstream (to ML pipelines, analytics, or production systems), enabling early detection and isolation of data errors. There is also a Python wrapper, PyDeequ, for users who prefer working from Python environments. -
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Diffy
Find potential bugs in your services with Diffy
Diffy is a traffic-shadowing and response-diffing tool that helps you validate a new version of a service against a trusted baseline before a full cutover. It acts as a proxy that fans out real production requests to three backends: the current “primary,” a “candidate” (new build), and a “shadow” baseline, then compares responses to detect behavioral differences. By using live traffic rather than synthetic tests, Diffy surfaces edge cases and data-dependent discrepancies that unit tests often miss. It provides mechanisms to normalize noise (timestamps, IDs, ordering) so diffs reflect meaningful regressions rather than incidental variance. Results are aggregated and visualized so teams can triage by endpoint, response field, or error type, turning release validation into a data-driven process. Built on Twitter’s Finagle stack, Diffy demonstrates a practical pattern for continuous verification and safer deployments in microservice environments. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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Dream Machine Preservation Project is a project with the goal to create a software emulator for the Amiga computer on the Java Virtual Machine.
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Erlang/Scala IDE based on NetBeans. With syntax checking, syntax highlighting, auto-completion, pretty formatter, occurrences mark, brace matching, indentation, code folding, function navigator, go to declaration, project management, shell console.
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Finatra
Fast, testable, Scala services built on TwitterServer and Finagle
Finatra builds on TwitterServer and uses Finagle, therefore it is highly recommended that you familiarize yourself with those frameworks before getting started. The version of Finatra documented here is version 2.x. Version 2.x is a complete rewrite over v1.x and as such many things are different. Finatra at its core is agnostic to the type of service or application being created. It can be used to build anything based on TwitterUtil: c.t.app.App. For servers, Finatra builds on top of the features of TwitterServer (and Finagle) by allowing you to easily define a Server and controllers (a Service-like abstraction) which define and handle endpoints of the Server. You can also compose Filters either per controller, per route in a controller, or across all controllers. Powerful Feature and Integration test support. Optional JSR-330 Dependency Injection using Google Guice. -
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Finch
Scala combinator library for building Finagle HTTP services
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. -
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Gizzard
Framework for creating eventually-consistent distributed datastores
Gizzard is a Scala framework originally developed by Twitter for building scalable, fault-tolerant, distributed key-value stores that can be sharded and replicated. It provides infrastructure for routing requests through shard trees, splitting or rebalancing shards dynamically, failover, and migrations. In Gizzard, data is stored in underlying storage shards (which could be databases or other stores) and Gizzard handles the process of routing requests correctly as the cluster topology changes. Gizzard's architecture is designed for operational flexibility: you can change the shard layout over time, reassign replicas, migrate data between nodes, and have requests redirected during transitions. It also supports secondary indexing and provides hooks for custom logic in migrations and consistency. Because Gizzard handles much of the complexity of shard routing and cluster transitions, it was used to support large-scale, evolving storage backends in production. -
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Graphcool Framework
Graphcool is an open-source backend development framework
Graphcool was an open-source framework for developing and deploying GraphQL-based backends. It acts as a “backend-as-a-service / framework” that lets you define your data model via GraphQL SDL (Schema Definition Language), and in turn generates a GraphQL CRUD API, supports nested mutations, filtering, pagination, and real-time subscriptions. Graphcool separates the business logic from stateful storage components, allowing the stateful parts (database, subscription engine) to scale independently and giving flexibility in how you compose your system. Users could deploy Graphcool either locally (e.g. via Docker) or on a managed cloud offering. The framework also provided features like schema evolution, migrations, data loaders for performance, and built-in tooling to manage endpoints and deployments. -
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Guardian Frontend
The Guardian DotCom
This repository hosts a major part of The Guardian’s web application stack, historically the Play Framework–based code that serves the newspaper’s content at scale. It orchestrates rendering of articles, live blogs, and interactive pieces while integrating advertising, analytics, identity, and paywall-adjacent features. The codebase coordinates with upstream content APIs, image services, and media platforms to compose pages dynamically with caching and edge-friendly layouts. Operationally, it’s engineered for high traffic spikes—breaking news or live sports—through aggressive caching strategies, feature switches, and robust fault isolation between services. The project reflects a long-running evolution from a monolith toward a service-oriented architecture, with portions moved to separate rendering services and modern front-end stacks while this repo remains the glue for core routes and legacy paths. -
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HiveMind Java Web Application Cloud IDE
Web development IDE in browser, supports Java, ruby, javascript...etc
HiveMind is a browser based web development that combines an application container (jetty), a middleware and a developer environment that runs in the browser. It runs on the jvm so you are not limited by environment. You can run it on your laptop, company server or even on a cloud service like AWS. It supports Java, Ruby, Python, JavaScript, Groovy, Clojure. Source include so it is easy to hack so you can modify it for your own need. -
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Isabelle/Eclipse
Eclipse integration for Isabelle proof assistant
Eclipse plug-ins that provide Prover IDE for Isabelle proof assistant, based on Isabelle/Scala framework. Isabelle/Eclipse started as a port of Isabelle/jEdit Prover IDE to integrate with Eclipse IDE as plug-ins. The integration uses common Eclipse components to provide theory editing, correct symbols, completion assistance, prover output and other features. By building on Eclipse it inherits various IDE goodies out of the box. This SourceForge project is used to distribute Isabelle/Eclipse files - the source code and issue management is available on GitHub: http://github.com/andriusvelykis/isabelle-eclipse Visit Isabelle/Eclipse website at http://andriusvelykis.github.com/isabelle-eclipse -
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JVMLense
The open source profiler for the jvm.
Get an inside view of your application. Find bottlenecks by looking at the development of the duration of your main business methods over time even in production. Find the cause of those bottlenecks by applying the profiling capabilities of JVMLense. -
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Lagom
Reactive Microservices for the JVM
The opinionated microservices framework for moving away from the monolith. Lagom helps you decompose your legacy monolith and build, test, and deploy entire systems of Reactive microservices. Lagom is an open source framework for building systems of Reactive microservices in Java or Scala. Lagom builds on Akka and Play, proven technologies that are in production in some of the most demanding applications today. Lagom's integrated development environment allows you to focus on solving business problems instead of wiring services together. A single command builds the project, starts supporting components and your microservices, as well as the Lagom infrastructure. The build hot-reloads when it detects changes to source code. -
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Marathon
Deploy and manage containers (including Docker) on top of Apache Mesos
A container orchestration platform for Mesos and DC/OS. Deploy and manage containers (including Docker) on top of Apache Mesos at scale. Marathon is a production-grade container orchestration platform for Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos. Marathon has first-class support for both Mesos containers (using cgroups) and Docker. Marathon runs as an active/passive cluster with leader election for 100% uptime. Marathon can bind persistent storage volumes to your application. You can run databases like MySQL and Postgres, and have storage accounted for by Mesos. Supply an HTTP endpoint to receive notifications, for example to integrate with an external load balancer. Query them at /metrics in JSON format, push them to systems like Graphite, StatsD and DataDog, or scrape them using Prometheus. -
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Metals
Scala language server with rich IDE features
Scala language server with rich IDE features. -
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Metawidget is a smart User Interface widget that populates itself, at runtime, with UI components to match the properties of your business objects. Supports Swing, Java Server Faces (JSF), GWT, Spring, Struts, Android, Hibernate, Groovy, JPA and more
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Needle is a simple dependency injection framework for configuring POJOs from properties files using annotations. Supports all numeric types, enums, arrays, collections and maps. Just drop into your classpath and never read a properties file again!
