Open Source Java Software Development Software - Page 18
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Java Software Development Software
View 5729 business solutionsBrowse free open source Java Software Development Software and projects below. Use the toggles on the left to filter open source Java Software Development Software by OS, license, language, programming language, and project status.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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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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JeecgBoot
Low-code enterprise web development platform
JeecgBoot is a low-code platform built on Spring Boot that accelerates enterprise application development with online forms, code generation, and a modern Vue-based frontend. It can generate CRUD screens, data dictionaries, and menu structures from database schemas, producing clean starter code that developers can extend. The platform integrates common enterprise features—RBAC permissions, data scopes, dictionary management, logging, and file/OSS integration—so teams start from a production-ready baseline. Workflow and report modules cover approvals and business documents, while visual designers let power users assemble pages without writing HTML. Multi-tenancy, API scaffolding, and pluginable modules make it suitable for both monolith and microservice deployments. In practice, it shortens the path from schema to usable back-office systems, leaving custom logic and integrations as the primary engineering focus. -
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Lettuce
Advanced Java Redis client for thread-safe sync, async, etc.
Build elastic data access. Lettuce is a scalable Redis client for building non-blocking Reactive applications. Lettuce is a fully non-blocking Redis client built with netty providing Reactive, Asynchronous and Synchronous Data Access. Lettuce provides asynchronous API with RedisFuture (CompletionStage) and Reactive types Flux [N] and Mono [0|1]. Low-latency communication, backpressure-enabled network engine for NIO TCP, epoll TCP and Unix Domain Sockets. Reactive Streaming is fully supported. Lettuce comes with an API that gets you started quickly. Its simple yet powerful programming model allows you for trivial use-cases as well as for chained asynchronous flows. Redis Standalone, Master/Slave, Redis Sentinel and Redis Cluster. Lettuce connects with all operational models natively supported by Redis. Partition-tolerance, Read Slaves and Transport-Level-Security provide the required foundation for highly scalable applications. -
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Luaj
Lightweight, fast, Java-centric Lua interpreter
Lightweight, fast, Java-centric Lua interpreter written for JME and JSE, with string, table, package, math, io, os, debug, coroutine & luajava libraries, JSR-223 bindings, all metatags, weak tables and unique direct lua-to-java-bytecode compiling. -
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MITIE
MITIE: library and tools for information extraction
This project provides free (even for commercial use) state-of-the-art information extraction tools. The current release includes tools for performing named entity extraction and binary relation detection as well as tools for training custom extractors and relation detectors. MITIE is built on top of dlib, a high-performance machine-learning library[1], MITIE makes use of several state-of-the-art techniques including the use of distributional word embeddings[2] and Structural Support Vector Machines[3]. MITIE offers several pre-trained models providing varying levels of support for both English, Spanish, and German trained using a variety of linguistic resources (e.g., CoNLL 2003, ACE, Wikipedia, Freebase, and Gigaword). The core MITIE software is written in C++, but bindings for several other software languages including Python, R, Java, C, and MATLAB allow a user to quickly integrate MITIE into his/her own applications. -
Deliver secure remote access with OpenVPN.OpenVPN's products provide scalable, secure remote access — giving complete freedom to your employees to work outside the office while securely accessing SaaS, the internet, and company resources.
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ML Manager 1.X
A modern, easy and customizable app manager for Android with Material
A modern, easy and customizable APK extractor & app manager for Android that allows you to extract any installed and system app, mark them as favorite, share .apk files easily and much more. -
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MS Paint IDE
Programming in MS Paint
People joke about what IDE they use often, things like Word, MS Notepad, sometimes even Eclipse, and then often times MS Paint. People joke about MS Paint because it's not even a text editor, people joke about it because it doesn't have one feature in common with IDEs. Well, this application gives MS Paint a boost, and lets MS Paint highlight, compile, and execute code, with just a few clicks of a button, and only text coming from MS Paint. It is now much more practical than things like Word, Notepad, and obviously Eclipse. -
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Material Components for Android
Modular and customizable Material Design UI components for Android
Material Components for Android delivers Material Design’s popular and reliable design and development resources to Android developers. With Material Design’s modular and customizable UI components, Android developers can create beautiful, high quality products faster and easier. Developed by a core team of engineers and UX designers at Google, Material Components enable developers to achieve a more reliable development workflow for building exceptional and highly functional apps. Material Components for Android is a drop-in replacement for Android's Design Support Library, offering tried and trusted Material Design guidelines and components. -
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Material SearchBar Android
Material Design Search Bar for Android
This beautiful and easy-to-use the library will help to add Lollipop Material Design SearchView in your project. Create a custom style and use one of the provided styles as the parent. Simply set/change these colors(or some) and you have your custom style. -
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Mojito
An automation platform that enables continuous localization
Mojito is a continuous localization platform. Rely on continuous integration to collect all of your software strings in one place. Check what products need localization in real-time. Create and import translation packages with a single click. Search and edit translations across all products and languages! And if you have a small dedicated translation team, they can work directly in Mojito. -
Build Securely on AWS 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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Morphia
MongoDB object-document mapper in Java
MongoDB Object Document Mapping for the JVM. Bidirectional mapping to and from the database. Transparently map your Java entities to MongoDB documents and back. -
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MyBatis Spring Adapter
Spring integration for MyBatis 3
MyBatis-Spring adapter is an easy-to-use Spring Framework bridge for MyBatis sql mapping framework. MyBatis-Spring integrates MyBatis seamlessly with Spring. This library allows MyBatis to participate in Spring transactions, takes care of building MyBatis mappers and SqlSessions and inject them into other beans, translates MyBatis exceptions into Spring DataAccessExceptions, and finally, it lets you build your application code free of dependencies on MyBatis, Spring or MyBatis-Spring. Spring version 2 only supports iBATIS version 2. An attempt was made to add MyBatis 3 support into Spring 3 (see the Spring Jira issue. Unfortunately, Spring 3 development ended before MyBatis 3 was officially released. Because the Spring team did not want to release with code based on a non-released version of MyBatis, official Spring support would have to wait. -
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MyBatis-Plus
An powerful enhanced toolkit of MyBatis for simplify development
MyBatis-Plus is an enhanced toolkit for MyBatis, designed to simplify development and increase productivity. It provides a range of out-of-the-box features such as code generation, conditional query builders, and pagination plugins, reducing boilerplate code and streamlining database operations. MyBatis-Plus is widely used in enterprise applications for its efficiency and ease of use. -
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OkBuck
OkBuck is a gradle plugin that lets developers build systems
OkBuck is a gradle plugin that lets developers utilize the Buck build system on a gradle project. OkBuck is under active development. Most common features used for building and testing android apps with the Android Gradle Plugin have support available for Buck. Please open issues for new features/bugs. buckWrapper will create a buck wrapper script and various configuration files to invoke buck commands. okbuck will generate BUCK files. To speed up your builds even more, you can use an implementation of Buck's HTTP Cache API to take advantage of building once and using the same build artifacts on all machines. -
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OpenAI-Java
OpenAI Api Client in Java
OpenAI-Java is the official Java client library provided by OpenAI for interacting with the OpenAI API. It is designed to make it easier for Java applications to call endpoints like chat completions, embeddings, function calling, streaming, and other model services using idiomatic Java patterns. You configure the client (often via environment variables or system properties), then build parameter objects (e.g. ChatCompletionCreateParams) and invoke methods like client.chat().completions().create(...) to send requests in a type-safe way. The library also supports streaming APIs, where the response arrives in chunks, using helpers like ChatCompletionAccumulator to accumulate partial responses into a full object. For complex use cases (e.g. structured outputs, function calling), it provides schema support, JSON annotations, and schema validation. -
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Pitest
State of the art mutation testing system for the JVM
PIT is a state of the art mutation testing system, providing gold standard test coverage for Java and the jvm. It's fast, scalable and integrates with modern test and build tooling. Faults (or mutations) are automatically seeded into your code, then your tests are run. If your tests fail then the mutation is killed, if your tests pass then the mutation lived. As it is actually able to detect whether each statement is meaningfully tested, mutation testing is the gold standard against which all other types of coverage are measured. Traditional test coverage (i.e line, statement, branch, etc.) measures only which code is executed by your tests. It does not check that your tests are actually able to detect faults in the executed code. It is therefore only able to identify code that is definitely not tested. -
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RSocket
Java implementation of RSocket
Application protocol providing Reactive Streams semantics. RSocket provides a protocol for Reactive Streams semantics between client-server, and server-server communication. RSocket is a binary protocol for use on byte stream transports such as TCP, WebSockets, and Aeron. RSocket is intended to be consumed via one of the various implementation libraries which implement the RSocket Protocol. By default to make RSocket easier to use it copies the incoming Payload. Copying the payload comes at cost to performance and latency. If you want to use zero copy you must disable this. To disable copying you must include a payloadDecoder argument in your RSocketFactory. This will let you manage the Payload without copying the data from the underlying transport. You must free the Payload when you are done with them or you will get a memory leak. Used correctly this will reduce latency and increase performance. -
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Random Cut Forest by AWS
An implementation of the Random Cut Forest data structure
This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for streaming data. Later new algorithms based on RCFs were developed for density estimation, imputation, and forecasting. The different directories correspond to equivalent implementations in different languages, and bindings to to those base implementations, using language-specific features for greater flexibility of use. -
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Retrofit
Type-safe HTTP client for Android and Java by Square
Retrofit is a type-safe HTTP client for Android and Java developed by Square. It allows developers to define REST API calls using simple interface annotations, automatically converting responses into Java objects using converters like Gson or Moshi. Retrofit greatly simplifies network requests by abstracting away boilerplate code, making API integration in mobile and Java apps seamless and maintainable. -
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SeriesGuide
Track your favorite TV shows and movies on Android devices
SeriesGuide highlights shows with new episodes and is backed by the huge TV show catalog of TMDb. It can display movies currently in cinemas or released digitally and offers access to the huge movie catalog of TMDb. It also integrates with Trakt to sync your watched episodes and movies. Connect your Trakt account or sign into SeriesGuide Cloud to sync your watched episodes and movies. Hit the share button to post a link to an awesome episode or movie to any Android app, including WhatsApp, Signal, Facebook and Twitter. Visual indicators make it easy to see remaining episodes and to spot unseen episodes. The statistics tool sums how many hours you have spent watching (and still have to). -
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Spring Data Neo4j
Provide support to increase developer productivity in Java
Spring Data Neo4j, part of the larger Spring Data family, provides easy configuration and access to Neo4j Graph Databases from Spring applications. It offers three different levels of abstraction to access the store. The Neo4j client, the Neo4j Template, and the Neo4j Repositories. Spring Data Neo4j offers advanced features to map annotated entity classes to the Neo4j Graph Database. The template programming model is equivalent to other Spring templates and builds the basis for interaction with the graph and is also used for the Spring Data repository support. Spring Data Neo4j is a core part of the Spring Data project which aims to provide convenient data access for NoSQL databases. Spring Data builds on Spring Framework, check the spring.io web-site for a wealth of reference documentation. If you are just starting out with Spring, try one of the guides. -
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Spring Data REST
Simplifies building hypermedia-driven REST web services
Spring Data REST is part of the umbrella Spring Data project and makes it easy to build hypermedia-driven REST web services on top of Spring Data repositories. Spring Data REST builds on top of Spring Data repositories, analyzes your application’s domain model and exposes hypermedia-driven HTTP resources for aggregates contained in the model. Exposes a discoverable REST API for your domain model using HAL as media type. Exposes collection, item and association resources representing your model. Supports pagination via navigational links. Allows to dynamically filter collection resources. Exposes dedicated search resources for query methods defined in your repositories. Allows to hook into the handling of REST requests by handling Spring ApplicationEvents. Exposes metadata about the model discovered as ALPS and JSON Schema. Allows to define client specific representations through projections. Ships a customized variant of the HAL Explorer to leverage the exposed metadata. -
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Spring Data Redis
Provides support to increase developer productivity in Java
Provides support to increase developer productivity in Java when using Redis, a key-value store. Uses familiar Spring concepts such as a template class for core API usage and lightweight repository-style data access. The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. Pubsub support (such as a MessageListenerContainer for message-driven POJOs). Redis Sentinel and Redis Cluster support. Reactive API using the Lettuce driver. JDK, String, JSON and Spring Object/X. -
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Spring Security
Authentication and access-control framework
Spring Security is a powerful and highly customizable authentication and access-control framework. It is the de-facto standard for securing Spring-based applications. Spring Security is a framework that focuses on providing both authentication and authorization to Java applications. Like all Spring projects, the real power of Spring Security is found in how easily it can be extended to meet custom requirements. Spring Security uses a Gradle-based build system. In the instructions, ./gradlew is invoked from the root of the source tree and serves as a cross-platform, self-contained bootstrap mechanism for the build. Be sure that your JAVA_HOME environment variable points to the jdk-11 folder extracted from the JDK download. -
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Spring for GraphQL
Spring Integration for GraphQL
Spring for GraphQL provides support for Spring applications built on GraphQL Java. It is a joint collaboration between the GraphQL Java team and Spring engineering. Our shared philosophy is to provide as little opinion as we can while focusing on comprehensive support for a wide range of use cases. Spring for GraphQL is the successor of the GraphQL Java Spring project from the GraphQL Java team. It aims to be the foundation for all Spring, GraphQL applications. The project reached version 1.0 in May 2022. Please, use our issue tracker to report a problem, discuss a design issue, or to request a feature. Each Spring project has its own; it explains in great details how you can use project features and what you can achieve with them. -
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SpringBoot Labs
A repository covering six columns
SpringBoot-Labs is a comprehensive learning and reference repository created by yudaocode that explores advanced concepts, features, and best practices in Spring Boot development. The project provides an extensive collection of example modules, each demonstrating a specific framework integration or architectural pattern within the Spring ecosystem. Topics include web development, microservices, security, messaging, distributed systems, DevOps deployment, and cloud-native application design. Unlike simple tutorials, SpringBoot-Labs dives deeply into practical, production-oriented setups, showing how different technologies and configurations work together in real-world scenarios. The repository is designed for developers who already understand the basics of Spring Boot and want to expand their skills into more complex and modern use cases. Through detailed code samples and explanations, it serves as both an educational and practical toolkit for mastering Spring Boot & related frameworks.
