Open Source Java Software - Page 55
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Java Software
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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ChunJun
A data integration framework
ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks. The SQL script is compatible with Flink SQL syntax. Supports a variety of heterogeneous data sources, and supports synchronization and calculation of more than 20 data sources such as MySQL, Oracle, SQLServer, Hive, Kudu, etc. Easy to expand, highly flexible, newly expanded data source plugins can integrate with existing data source plugins instantly, plugin developers do not need to care about the code logic of other plugins. -
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Classpy
GUI tool for investigating Java class files
Classpy is a GUI tool for investigating Java class file, Lua binary chunk, Wasm binary code, and other binary file formats. Understands class files described by JVMS9. Supports Lua 5.3 binary chunk format. Supports Wasm binary format. Supports Bitcoin raw block and transaction format. Displays parsed binary file as tree and hex text. The corresponding hex text is highlighted when you select a tree node. This tool is mainly inspired by javap and JavaClassViewer. -
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Client-side Encryption Amazon DynamoDB
Amazon DynamoDB Encryption Client for Java
The Amazon DynamoDB Client-side Encryption in Java supports encryption and signing of your data when stored in Amazon DynamoDB. A typical use of this library is when you are using DynamoDBMapper, where transparent protection of all objects serialized through the mapper can be enabled via configuring an AttributeEncryptor. Use SaveBehavior.PUT or SaveBehavior.CLOBBER with AttributeEncryptor. If you do not do so you risk corrupting your signatures and encrypted data. When PUT or CLOBBER is not specified, fields that are present in the record may not be passed down to the encryptor, which results in fields being left out of the record signature. This in turn can result in records failing to decrypt. For more advanced use cases where tighter control over the encryption and signing process is necessary, the low-level DynamoDBEncryptor can be used directly. -
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CodeLocator
Android toolset that includes the Android SDK and Android Studio
CodeLocator is a developer tool designed to help analyze, navigate, and understand large Android codebases — especially useful when working with obfuscated code, many dependencies, or when you don’t have full context (e.g. in large apps or reverse-engineering contexts). It provides capabilities to quickly locate references, method calls, resource usages, and dependency paths across the project, which can dramatically speed up understanding code flow, tracing bugs, or auditing code. By giving a UI or structured navigation interface (depending on platform integration) over the project’s code and metadata, CodeLocator helps developers find where particular functions, classes or resources are used, and see their call graphs or dependency chains. This becomes particularly valuable in large-scale Android projects, legacy codebases, or when dealing with complicated modular architectures. -
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Coffee GB
Gameboy emulator in Java 8
Coffee GB is a Gameboy Color emulator written in Java 8. It's meant to be a development exercise. More info can be found in the blog post. First I implemented all the Gameboy CPU opcodes. It’s not exactly the Z80, but it’s pretty close. As a reference, I’ve used the GameBoy CPU Manual - later on I discovered that it has a few typos and is not specific enough for some of the operations. After implementing the opcodes and memory (modelled by an int[] array) I was eager to check whether it’s possible to run some code on it. I had neither the cartridge nor the GPU emulation yet, so even the simplest game wouldn’t be an option. However, when the original Gameboy starts, it executes a simple 256-bytes program, a kind of firmware displaying the Nintendo logo and self-testing the system. That was exactly the thing I was looking for - after just 3 days I had an application running the Gameboy code! -
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Colorful
Android dynamic skin resurfacing library
Colorful is an Android library aimed at simplifying the use of color and theme customization in Android applications by providing utilities for generating, manipulating, and applying dynamic color schemes at runtime. It abstracts away the complexity of Android’s standard theming system and gives developers a higher-level API for tasks such as tinting UI components, generating complementary color palettes, and producing visually consistent themes based on a primary color. With Colorful, you can create adaptable interfaces that respond to user preferences, branding requirements, or content-specific hues without boilerplate code spread throughout your UI layer. The library also includes support for contrast adjustments and accessibility concerns, ensuring generated palettes remain legible and compliant with usability guidelines. Because color theming is central to modern app design, Colorful helps teams implement sophisticated, dynamic visual systems while preserving maintainability. -
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Component
A powerful componentized framework
A powerful componentized framework. A powerful, 100% compatible, AndroidX, Kotlin support and flexible componentized framework. Component 2.x will all use Kotlin, and the annotation driver will be developed using ksp. The workload is huge. Therefore, the official 2.x version will have routine maintenance bugs in 1.9.x after a long time, please rest assured. Early adopters can use it 2.x, please use 1.9.x for stability. Choosing a better, more comprehensive, more stable and more promising framework is what your technical team or technical leader has to do! A powerful componentized framework that pays great attention to the user experience and brings you a different enjoyment in use. The whole design is close to the original, and there is very little invasion of the original code, and the original code is preserved as much as possible. -
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Conscrypt
Conscrypt is a Java Security Provider
Conscrypt is a modern TLS/SSL provider for Java that replaces the default JCE/JCA crypto stack with one backed by BoringSSL for better performance and security posture. It is implemented as a drop-in SecurityProvider, so applications and frameworks can opt in without changing high-level HTTPS or socket code. The provider focuses on contemporary protocol hygiene—up-to-date cipher suite selection, ALPN, session resumption, and hardened defaults—so Java servers and clients negotiate secure connections by construction. Because it builds on BoringSSL’s audited primitives and constant-time implementations, it reduces the risk of subtle side-channel issues while improving handshake and bulk crypto throughput. Conscrypt also exposes platform accelerations (like AES-GCM and ChaCha20-Poly1305) and supports features important to HTTP/2 and HTTP/3 stacks. Its goal is pragmatic: deliver a fast, well-maintained TLS provider that behaves like modern browsers and mobile stacks. -
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Create
Building Tools and Aesthetic Technology
Create is a large Minecraft modification that introduces mechanical engineering systems, automation tools, and kinetic machinery into the game. The mod focuses on building complex contraptions powered by rotational energy rather than relying on traditional redstone circuitry alone. Players can design elaborate machines using components such as shafts, gears, belts, and mechanical devices that interact with each other to automate crafting, farming, and resource processing. Unlike many technology mods that rely heavily on graphical interfaces, Create emphasizes visible mechanical movement and physical machinery that operates directly in the game world. The mod also includes a visual documentation system called “Ponder” that demonstrates how each machine or component works through animated tutorials inside the game. -
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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DNS-Based Host Blocking for Android
DNS-based Host Blocker (and lightweight ad blocker) for Android
This is a DNS-based host blocker for Android. In the default configuration, several widely-respected host files are used to block ads, malware, and other weird stuff. On the first start, you must manually update the hosts files (using the refresh button) before the service can work correctly (issue #1); and you must also update the hosts files yourself regularly for now. Items in the hosts and DNS servers lists can be moved around and removed) of the list using standard RecyclerView interactions (long press makes the entry movable, swipe to either side removes it). For hosts, a later entry overrides a previous entry; for DNS servers, the first server is preferred. There's also no validation of input, so DNS servers that are not valid IPv4 addresses are not rejected, neither are URLs for DNS server entries (we intend to support URLs in the future, so you can point the app to a remote list of servers). -
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DQO Data Quality Operations Center
Data Quality Operations Center
DQO is an DataOps friendly data quality monitoring tool with customizable data quality checks and data quality dashboards. DQO comes with around 100 predefined data quality checks which helps you monitor the quality of your data. Table and column-level checks which allows writing your own SQL queries. Daily and monthly date partition testing. Data segmentation by up to 9 different data streams. Build-in scheduling. Calculation of data quality KPIs which can be displayed on multiple built-in data quality dashboards. -
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DSS
Creation, extension and validation of advanced electronic signatures
Digital Signature Service, creation, extension, and validation of advanced electronic signatures. -
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Dagger
Fast dependency injector for Android and Java
Dagger is a fully static, compile-time dependency injection framework for Java, Kotlin, and Android. It is an adaptation of an earlier version created by Square and now maintained by Google. The latest Dagger release is: Dagger 2.33. Dagger aims to address many of the development and performance issues that have plagued reflection-based solutions. Dagger is a replacement for the FactoryFactory classes that implements the dependency injection design pattern without the burden of writing the boilerplate. It allows you to focus on the interesting classes. Declare dependencies, specify how to satisfy them, and ship your app. Dependency injection frameworks have existed for years with a whole variety of APIs for configuring and injecting. So, why reinvent the wheel? Dagger 2 is the first to implement the full stack with generated code. The guiding principle is to generate code that mimics the code that a user might have hand-written to ensure that dependency injection is simple. -
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DataHub
The Metadata Platform for your Data and AI Stack
DataHub is an open source metadata platform that helps organizations discover, understand, and trust their data assets at scale. It models data as a richly connected graph spanning datasets, dashboards, pipelines, ML features, and services, so users can explore relationships like lineage and ownership across tools and domains. The platform focuses on continuous metadata ingestion from many sources, treating metadata as a stream that stays fresh as systems change. A modern web UI and search layer make it easy for analysts, engineers, and stewards to find assets, read documentation, and see context such as usage, schema history, and downstream impacts. Governance features such as glossaries, tags, ownership, and policies bring order and accountability without blocking day-to-day work. APIs and SDKs enable teams to integrate DataHub into catalogs, CI pipelines, and automation so metadata becomes part of the development lifecycle rather than an afterthought. -
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Datahike
A durable Datalog implementation adaptable for distribution
Datahike is a durable Datalog database powered by an efficient Datalog query engine. This project started as a port of DataScript to the hitchhiker-tree. All DataScript tests are passing, but we are still working on the internals. Having said this we consider Datahike usable for medium sized projects, since DataScript is very mature and deployed in many applications and the hitchhiker-tree implementation is heavily tested through generative testing. We are building on the two projects and the storage backends for the hitchhiker-tree through konserve. We would like to hear experience reports and are happy if you join us. We provide a small stable API for the JVM at the moment, but the on-disk schema is not fixed yet. We will provide a migration guide until we have reached a stable on-disk schema. Take a look at the ChangeLog before upgrading. -
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DeepCode for Visual Studio Code
DeepCode extension for Visual Studio Code
DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers Snyk's one-click security fixes and comprehensive app coverage, letting developers build fast while staying secure. Our specialized DeepCode AI is built and refined by top-tier researchers that use training data from millions of open source projects, never customer data. DeepCode AI's hybrid approach uses multiple models and security-specific training sets for one purpose, to secure applications. -
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Droid Plugin
A plugin framework on android,Run any third-party apk
A plugin framework on android, Run any third-party apk without installation, modification, or repackage. This is a framework on android. You can run any third-party apk without installation, modification or repackage with Droid Plugin. Given its .apk file, the plugged app could be run either independently or as a plugin of the host, NO source code is needed. The plugged app are recognized as Installed by the host and other plugged apps. Very low level of code invasion, indeed just one line code to integrate DroidPlugin into the host app. Complete code level separation between host and plugged apps, only system-level message passing method provided by Android allowed. Resources management are also completely separated between host and plugged apps. Process management for plugged apps, idle processed of the plugged app will be timely recycled to guarantee minimum memory usage. -
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Druid
Database connection pool written in Java
Druid is an open-source database connection pool written in Java. Druid is able to provide an extensive number of powerful monitoring functionalities for database connection. Druid has been deployed to the maven central repository. Druid provides a monitoring feature that can be implemented through filter-chain. It also comes with WallFilter, that is based on the SQL semantic analysis to protect from SQL injection attacks. Monitor connection leaks and connect to other databases, like Oracle database. -
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Easy Machine Learning
Easy Machine Learning is a general-purpose dataflow-based system
Machine learning algorithms have become the key components in many big data applications. However, the full potential of machine learning is still far from being realized because using machine learning algorithms is hard, especially on distributed platforms such as Hadoop and Spark. The key barriers come from not only the implementation of the algorithms themselves but also the processing for applying them to real applications which often involve multiple steps and different algorithms. Our platform Easy Machine Learning presents a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real-world tasks. In the system, a learning task is formulated as a directed acyclic graph (DAG) in which each node represents an operation (e.g. a machine learning algorithm), and each edge represents the flow of the data from one node to its descendants. -
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EasyDeviceInfo
[Android Library] Get device information in a super easy way
Android library to get device information in a super easy way. The library is built for simplicity and approachability. It not only eliminates most boilerplate code for dealing with device information but also provides an easy and simple API to retrieve them. EasyDeviceInfo is split into multiple module-libraries, v2.2.0 onwards. Use the appropriate one as per your requirement. -
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Eclipse Collections
Eclipse Collections is a collections framework for Java
Eclipse Collections is the best Java collections framework ever that brings happiness to your Java development. Integrate it to your codebase today with your favorite build tools! Maximize the power of Java 8 Lambda expressions and method references with rich APIs directly available on your collections. Many container types include immutable collections, primitive collections, bimaps, multimaps and bags. You can make use of various container types, leveraging handy factory methods for instantiation. Eclipse Collections provides a memory-efficient implementation of Sets and Maps as well as primitive collections. Check out the Eclipse Collections Kata, a fun way to help you learn idiomatic Eclipse Collections usage. This particular kata is set up as a series of unit tests that fail. Your task is to make them pass, using Eclipse Collections. -
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ElasticJob
Distributed scheduled job framework
ElasticJob is a distributed scheduling solution consisting of two separate projects, ElasticJob-Lite and ElasticJob-Cloud. ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. Scale out for throughput and efficiency improvement. Job processing capacity is flexible and scalable with the allocation of resources. Execute job on suitable time and assigned resources. Aggregation same job to same job executor. Append resources to newly assigned jobs dynamically. Using ElasticJob can make developers no longer worry about the non-functional requirements such as jobs scale out, so that they can focus more on business coding. -
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EmoticonGIFKeyboard
An advance Emoticons & GIF keyboard
EmoticonGIFKeyboard is an embeddable Android library offering a lightweight, customizable keyboard UI for inserting emojis and GIFs into apps. It simplifies integration into messaging or social apps to enrich user input without the overhead of a full-featured IME. -
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Error Prone
Catch common Java mistakes as compile-time errors
Error Prone is a static analysis tool for Java that catches common programming mistakes at compile-time. It’s common for even the best programmers to make simple mistakes. And sometimes a refactoring that seems safe can leave behind code that will never do what’s intended. We’re used to getting help from the compiler, but it doesn’t do much beyond static type checking. Using Error Prone to augment the compiler’s type analysis, you can catch more mistakes before they cost you time, or end up as bugs in production. We use Error Prone in Google’s Java build system to eliminate classes of serious bugs from entering our code, and we’ve open-sourced it, so you can too. -
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FXGLGames
This repo contains sample games built with FXGL
This repo contains sample games built with FXGL Game Library. Each game focuses on one or two aspects of FXGL, e.g. Drop focuses on bare minimums, Pac-man focuses on AI, etc.
