Open Source Java Software - Page 54
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Browse free open source Java Software and projects below. Use the toggles on the left to filter open source Java Software by OS, license, language, programming language, and project status.
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Morph is a Java framework that eases the internal interoperability of an application. As information flows through an application, it undergoes multiple transformations. Morph provides a standard way to implement these transformations.
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TerpPaint is a Paint program written using Java and AWT/Swing. TerpPaint is part of the TerpOffice suite developed at the University of Maryland.
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Wicked Shell - A non-evil eclipse plugin providing an integrated shell. This plugin enables the use of the system shell directly from the eclipse IDE.
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nifty-gui
Nifty GUI is a Java Library to create OpenGL based user interfaces.
Nifty GUI is a Java Library that supports the building of interactive user interfaces for games or similar applications. It utilizes LWJGL, JME, Java2d or JOGL for OpenGL rendering. Nifty = Layout + Display + Interact done in a Nifty way :) -
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Activiti
Light-weight workflow and business process management pltaform
Helping businesses solve automation challenges in distributed, highly-scalable and cost effective infrastructures. Activiti is the leading lightweight, java-centric open-source BPMN engine supporting real-world process automation needs. Activiti Cloud is now the new generation of business automation platform offering a set of cloud native building blocks designed to run on distributed infrastructures. Inmutable, scalable & pain free Process & Decision Runtimes designed to integrate with your cloud native infrastructure. Scalable, storage independent and extensible audit service. Scalable, storage independent and extensible query service. Simplified system to system interactions that can scale in distributed environments. Distributed & Scalable application aggregation layer. Cloud ready secure WebSocket and subscription handling as part of GraphQL integration. -
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AgentScope Java
Agent-Oriented Programming for Building LLM Applications
AgentScope Java is an agent-oriented programming framework that enables Java developers to build intelligent, LLM-powered applications using a dynamic reasoning-acting (ReAct) paradigm. It provides a comprehensive toolkit for creating autonomous agents that can plan, execute, and adjust complex workflows, making decisions about which tools to invoke and how to solve multi-step problems. The framework includes runtime controls such as safe interruption and graceful cancellation to manage agent execution robustly in production environments. It also supports human-in-the-loop intervention, allowing developers or users to inject guidance at any point during reasoning while preserving state and tool context. Built with enterprise needs in mind, AgentScope Java integrates into traditional Java stacks and provides structured abstractions for memory, workflows, and tool invocation. -
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Airsonic
Free and Open Source community driven media server
Airsonic is a free, web-based media streamer, providing ubiquitous access to your music. Use it to share your music with friends, or to listen to your own music while at work. You can stream to multiple players simultaneously, for instance to one player in your kitchen and another in your living room. Airsonic is designed to handle very large music collections (hundreds of gigabytes). Although optimized for MP3 streaming, it works for any audio or video format that can stream over HTTP, for instance AAC and OGG. By using transcoder plug-ins, Airsonic supports on-the-fly conversion and streaming of virtually any audio format, including WMA, FLAC, APE, Musepack, WavPack and Shorten. If you have constrained bandwidth, you may set an upper limit for the bit rate of the music streams. Airsonic will then automatically re-sample the music to a suitable bit rate. -
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AndEngine
Free Android 2D OpenGL Game Engine
AndEngine is a Java-based, open-source 2D game engine for Android, designed to make mobile game development easier by wrapping OpenGL (GLES) under a higher-level API. It abstracts much of the complexity of directly using OpenGL, letting developers more quickly build games with sprites, tilemaps, physics (via extensions), animations, and input handling, all within the Android ecosystem. Because it's tailored for Android, AndEngine integrates with typical Android project structure and lifecycle, although historically it was more aligned with Eclipse — meaning some adaptation might be needed for modern Android Studio projects. It enjoys a substantial community, many forks and extensions (for physics, tilemaps, multiplayer, live wallpapers, etc.), which increases its versatility — from simple casual games to more feature-rich 2D titles. -
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Android Debug Database
A library for debugging android databases and shared preferences
Android Debug Database allows you to view databases and shared preferences directly in your browser in a very simple way. Android Debug Database is a powerful library for debugging databases and shared preferences in Android applications. Delete database rows and shared preferences. Search in your data. Sort data. Download database. Debug Room inMemory database. As this library is auto-initialize, if you want to get the address log, add the following method and call (we have to do like this to avoid build error in release build as this library will not be included in the release build) using reflection. Using the Android Debug Database with an encrypted database. See all the data in the shared preferences used in your application. Run any sql query on the given database to update and delete your data. -
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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Android MVP Architecture
Detailed sample app that implements MVP architecture
Android MVP Architecture is a detailed Android sample project that demonstrates the Model-View-Presenter pattern in a structured application. It separates interface code from presentation logic by pairing views with dedicated presenters. A data layer handles access and manipulation, while a service layer contains application services. Dagger 2 supplies dependencies, GreenDAO provides local persistence, and RxJava coordinates asynchronous work. Fast Android Networking manages remote requests, while PlaceHolderView and Android Debug Database support interface construction and database inspection. The classes emphasize inheritance and reuse, but the repository is deprecated and now serves mainly as a learning reference. -
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Android Sliding Up Panel
A simple way to add a draggable sliding up panel to Android apps
This library provides a simple way to add a draggable sliding up panel (popularized by Google Music and Google Maps) to your Android application. As seen in Umano Android App (now acquired by Dropbox). If you are using the library and you would like to have your app listed, simply let us know. Simply add the following dependency to your build.gradle file to use the latest version. Include com.sothree.slidinguppanel.SlidingUpPanelLayout as the root element in your activity layout. The layout must have gravity set to either top or bottom. Make sure that it has two children. The first child is your main layout. The second child is your layout for the sliding up panel. The main layout should have the width and the height set to match_parent. The sliding layout should have the width set to match_parent and the height set to either match_parent, wrap_content or the max desireable height. -
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Android-Plugin-Framework
Android Plugin Framework
Android-Plugin-Framework is an Android plug-in framework, which is used to run plug-in apk without installation through dynamic loading. Although this framework supports independent plug-ins, the goal is not to support any third-party apps, unlike products such as Parallel Space or App Clone. Compared with any third-party app, non-independent plug-ins can predict which system APIs and features they use, and all behaviors are predictable. And any third-party app is unpredictable. The approach of the framework is to hook on demand, that is, which system features and APIs need to be used, and which features and APIs are supported. This approach is perfectly sufficient for developing non-standalone and second-party standalone plugins. Currently, support for common features and APIs has been added. If the API you want to use is not yet supported, please contact the author. -
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Apache HBase
Get random, realtime read/write access to your Big Data
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX. Convenient base classes for backing Hadoop MapReduce jobs with Apache HBase tables. -
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Apache HertzBeat
Apache HertzBeat(incubating) is a real-time monitoring system
Apache HertzBeat (incubating) is an easy-to-use, open source, real-time monitoring system with an agentless, high-performance cluster, Prometheus-compatible, and offers powerful custom monitoring and status page building capabilities. Hertzbeat is an open-source monitoring and alerting platform for IT infrastructure, including servers, networks, and applications. -
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Apache Hudi
Upserts, Deletes And Incremental Processing on Big Data
Apache Hudi (pronounced Hoodie) stands for Hadoop Upserts Deletes and Incrementals. Hudi manages the storage of large analytical datasets on DFS (Cloud stores, HDFS or any Hadoop FileSystem compatible storage). Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics. Hudi provides efficient upserts, by mapping a given hoodie key (record key + partition path) consistently to a file id, via an indexing mechanism. This mapping between record key and file group/file id, never changes once the first version of a record has been written to a file. In short, the mapped file group contains all versions of a group of records. -
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Apache Iceberg
Apache Iceberg
Iceberg is a high-performance format for huge analytic tables. Iceberg brings the reliability and simplicity of SQL tables to big data while making it possible for engines like Spark, Trino, Flink, Presto, Hive, and Impala to safely work with the same tables, at the same time. The core Java library that tracks table snapshots and metadata is complete, but still evolving. Current work is focused on adding row-level deletes and upserts, and integration work with new engines like Flink and Hive. The Iceberg format specification is being actively updated and is open for comment. Until the specification is complete and released, it carries no compatibility guarantees. The spec is currently evolving as the Java reference implementation changes. -
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Apache Maven Surefire
Apache Maven Surefire
A Maven plugin designed to run tests, supporting unit tests and integration tests during the build process. -
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Apache OpenNLP
Apache OpenNLP
Apache OpenNLP is a machine learning-based NLP library that provides tools for text-processing tasks such as tokenization, sentence segmentation, and named entity recognition. -
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Apache SeaTunnel
SeaTunnel is a distributed, high-performance data integration platform
SeaTunnel is a very easy-to-use ultra-high-performance distributed data integration platform that supports real-time synchronization of massive data. It can synchronize tens of billions of data stably and efficiently every day, and has been used in the production of nearly 100 companies. There are hundreds of commonly-used data sources of which versions are incompatible. With the emergence of new technologies, more data sources are appearing. It is difficult for users to find a tool that can fully and quickly support these data sources. Data synchronization needs to support various synchronization scenarios such as offline-full synchronization, offline-incremental synchronization, CDC, real-time synchronization, and full database synchronization. Existing data integration and data synchronization tools often require vast computing resources or JDBC connection resources to complete real-time synchronization of massive small tables. -
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Apache Seata
High-performance, open source distributed transaction solution
Seata is a distributed transaction solution for microservices that provides consistent, cross-service commits without forcing every team to adopt the same persistence model. Its architecture separates responsibilities into a global coordinator and per-service participants, so business services remain decoupled while transactions are orchestrated centrally. Multiple modes are supported—AT (automatic, SQL-based with undo logs), TCC (try-confirm-cancel), Saga (long-running compensation), and XA—letting architects choose between simplicity, control, and interoperability. The AT mode is notable for minimizing code changes: Seata captures before/after images of SQL updates and can roll back on failure to maintain atomicity across services. Integrations cover common RPC frameworks and registries, enabling drop-in usage within Spring Cloud/Dubbo-style ecosystems. -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
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Astron Agent
Enterprise platform for building and orchestrating AI agent workflows
Astron Agent is an enterprise-grade platform designed for building and managing intelligent AI agent workflows in production environments. It provides a development environment that combines workflow orchestration, model management, and integration with various AI tools and services. Astron Agent enables organizations to design complex agent-driven processes that coordinate models, automation tools, and enterprise systems. It also integrates robotic process automation capabilities so agents can execute tasks across digital systems instead of only generating responses. Astron Agent supports scalable and high-availability deployments, allowing teams to run reliable AI agent infrastructure in distributed environments. It includes collaboration features that allow teams to develop, manage, and operate AI applications together. With its extensible architecture and enterprise-focused design, it aims to help organizations build production-ready intelligent agent solutions. -
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AstronRPA
Agent-ready RPA suite with visual workflow automation tools engine
Astron RPA is an enterprise-grade robotic process automation platform designed to help organizations and developers build automated workflows for desktop and web applications. It provides a visual workflow designer that supports low-code and no-code development, allowing users to create automation processes through a drag-and-drop interface instead of writing extensive code. It enables automation of common desktop software and browser-based tasks, making it suitable for repetitive business operations and system integrations. Astron RPA includes a large library of reusable components that handle tasks such as user interface operations, data processing, and system interactions, allowing workflows to be assembled from modular building blocks. Astron RPA also integrates with intelligent agent systems so that automated processes and AI-driven workflows can work together in broader automation scenarios. -
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Atlas
An Android dynamic component framework
Atlas is an Android client-side containerization framework. we call it android dynamic component framework. Atlas provides decoupled, component, and dynamic support. Atlas covers various issues in the project coding period, Apk run-time and follow-up operation and maintenance. In the project period, Atlas enables independent development, independent debug, etc. In the apk run-time, Atlas has complete component life cycle, class isolation and other mechanisms. In the operation and maintenance period, Atlas provides rapid incremental update and rapid upgrade capacity. Atlas puts the work into the project period as much as possible, to ensure runtime remains simple and stable, and maintenance processes remain easy. Compared with multidex solution, Atlas not only solved the limitation of the method count(65535), but also clarified the boundary of development, providing powerful capabilities for Android development. -
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Atmosphere
Real-time transport layer for Java AI agents
Atmosphere is a Java framework for building streaming AI agents on the JVM. It lets developers declare agent behavior with an @Agent annotation while the framework handles transport, streaming, tool calls, memory, reconnect behavior, authorization, and observability. A single agent can be exposed over WebSocket, Server-Sent Events, long polling, gRPC, and WebTransport over HTTP/3 depending on the modules included. It also supports agent-facing protocols such as MCP, A2A, and AG-UI, along with external messaging channels such as Slack, Telegram, Discord, WhatsApp, and Messenger. The project is built for teams that need AI agents to behave like production services instead of simple chat demos. It is useful for JVM developers who want portable, observable, real-time AI agent endpoints across multiple clients and protocols.
