Open Source Java Frameworks - Page 3
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Java Frameworks
View 161 business solutionsBrowse free open source Java Frameworks and projects below. Use the toggles on the left to filter open source Java Frameworks by OS, license, language, programming language, and project status.
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Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Spring Cloud Alibaba
One-stop solution for application development for Alibaba middleware
Spring Cloud Alibaba provides a one-stop solution for distributed application development. It contains all the components required to develop distributed applications, making it easy for you to develop your applications using Spring Cloud. With Spring Cloud Alibaba, you only need to add some annotations and a small amount of configurations to connect Spring Cloud applications to the distributed solutions of Alibaba, and build a distributed application system with Alibaba middleware. Flow control and service degradation: flow control, circuit breaking and system adaptive protection with Alibaba Sentinel. Service registration and discovery: instances can be registered with Alibaba Nacos and clients can discover the instances using Spring-managed beans. Supports Ribbon, the client side load-balancer via Spring Cloud Netflix. Distributed Configuration: using Alibaba Nacos as a data store. -
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Spring Data R2DBC
Provide support to increase developer productivity in Java
Provide support to increase developer productivity in Java when using Reactive Relational Database Connectivity. Uses familiar Spring concepts such as a DatabaseClient 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. Spring Data JDBC, part of the larger Spring Data family, makes it easy to implement JDBC-based repositories. This module deals with enhanced support for JDBC-based data access layers. It makes it easier to build Spring-powered applications that use data access technologies.It aims at being conceptually easy. In order to achieve this it does NOT offer caching, lazy loading, write-behind or many other features of JPA. This makes Spring Data JDBC a simple, limited, opinionated ORM. -
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Apache Wicket is a component based Java web application framework. It has found a new home at Apache: http://wicket.apache.org Please visit us there to discover new releases, find support and learn more about Apache Wicket.
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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. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Besu Ethereum Client
An enterprise-grade Java-based, Apache 2.0 licensed Ethereum client
You can use Besu to develop enterprise applications requiring secure, high-performance transaction processing in a private network. A private network is a network not connected to Ethereum Mainnet or an Ethereum testnet. Private networks typically use a different chain ID and proof of authority consensus (QBFT, IBFT 2.0, or Clique). You can also create a local development network using proof of work (Ethash). Instructions for how to get started with developing on the Besu codebase. Please also read the wiki for more details on how to submit a pull request (PR). Besu is an Apache 2.0 licensed, MainNet compatible, Ethereum client written in Java. Participation in private networks is typically restricted in some way, so the volume of traffic is much lower than on Mainnet, resulting in lower system requirements. Depending on your environment and network setup, the minimum Java Virtual Machine (JVM) memory requirement for private networks is 4 GB. -
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Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides native Java development experience and functions like any other regular Java library. You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration. -
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HappyX
Macro-oriented asynchronous web-framework written in Nim
HappyX is a macro-oriented asynchronous web framework written in Nim, facilitating the development of web applications with a focus on performance and ease of use. -
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A Kubernetes Native Java stack tailored for OpenJDK HotSpot and GraalVM, crafted from the best-of-breed Java libraries and standards. Quarkus tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near-instant scale-up and high-density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile-time boot. Combine both the familiar imperative code and the reactive style when developing applications. Quarkus provides a cohesive, fun-to-use, full-stack framework by leveraging a growing list of over fifty best-of-breed libraries that you love and use. All wired on a standard backbone. The combination of Quarkus and Kubernetes provides an ideal environment for creating scalable, fast, and lightweight applications. Quarkus significantly increases developer productivity with tooling, pre-built integrations, application services, and more.
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java-client
Java language binding for writing Appium Tests
Java language binding for writing Appium Tests conforms to W3C WebDriver Protocol. Since version 8 Appium Java Client had several major changes, which might require to update your client code. Make sure to follow the v7 to v8 Migration Guide in order to streamline the migration process. -
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SoundHelix
Versatile algorithmic random music generation software written in Java
SoundHelix is a free versatile Java framework for algorithmic random music composition. SoundHelix can generate random songs, play them (for example, on any number of MIDI devices or MIDI-capable software synthesizers) and is highly customizable using XML configuration. SoundHelix also allows writing the generated music as MIDI files. SoundHelix produces music that is actually enjoyable to listen to. -
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Android Easy MultiDex
Android, multidex, splitdex, subpackage plugin
Android, multidex, splitdex, subpackage plugin. The Gradle script was integrated into the plug-in, so that only one configuration file needs to be maintained. Readers can choose separate configuration or integrated configuration according to their own needs. In this way, we maintain the number of methods of the main Dex at about 15,000, and we no longer have to worry about the number of methods. Through the above official subcontracting, the original Dex has been divided into 1 master Dex and more slave Dex. The main Dex contains all 4 major components, Application, Annotation, multidex, etc. and their necessary direct dependencies. Since the number of our methods has reached 16W, hundreds of activities were all stuffed into the main Dex, and the main Dex was successfully exploded. -
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Apache Dubbo
A high performance Java RPC framework
Apache Dubbo is a high performance, lightweight, open source RPC framework written in Java. It offers three key functionalities: interface based remote call, load balancing and fault tolerance, and automatic service registration and discovery. Apache Dubbo is built to support multiple service registries and load balancing strategies right out of the box. Due to its micro-kernel and plugin design it can also be easily extended through third-party implementations. Plenty of companies are using Dubbo, and are helping to continually improve it through Dubbo’s improvement initiative, “Wanted: who’s using dubbo”. -
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Apache Shiro
Apache Shiro
Apache Shiro is a powerful and easy-to-use Java security framework that performs authentication, authorization, cryptography, and session management. With Shiro’s easy-to-understand API, you can quickly and easily secure any application, from the smallest mobile applications to the largest web and enterprise applications. -
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Armeria
Your go-to microservice framework for any situation
Build a reactive microservice at your pace, not theirs. Armeria is your go-to microservice framework for any situation. You can build any type of microservice leveraging your favorite technologies, including gRPC, Thrift, Kotlin, Retrofit, Reactive Streams, Spring Boot and Dropwizard. Let's embrace the reality, we almost always have to deal with more than one protocol. It was once Thrift, today it's gRPC, and REST never gets old. At the same time, you sometimes have to handle health check requests from a load balancer or even serve some static files. Armeria is capable of running services using different protocols, all on a single port. No need for any proxies or sidecars. Enjoy the reduced complexity and points of failure, even when migrating between protocols! -
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Axon Framework
Framework for Evolutionary Message-Driven Microservices on the JVM
Axon provides a unified, productive way of developing Java applications that can evolve without significant refactoring from a monolith to Event-Driven microservices. Axon includes both a programming model as well as specialized infrastructure to provide enterprise-ready operational support for the programming model - especially for scaling and distributing mission-critical business applications. Axon is composed of the following concepts and products. Domain-Driven Design (DDD) defines many concepts and patterns that help design software effectively, in line with the business requirements. Axon separates infrastructural concerns from the domain logic, which, combined with DDD best practices, keeps complexity to a minimum. Event Sourcing is a pattern for data storage, where instead of storing the current state of any entity, all past changes to that state are stored. -
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Discord4J
Reactive library to enable quick and easy development of bots
Discord4J is a fast, powerful, unopinionated, reactive library to enable quick and easy development of Discord bots for Java, Kotlin, and other JVM languages using the official Discord Bot API. Discord4J follows the reactive-streams protocol to ensure Discord bots run smoothly and efficiently regardless of size. Automatic rate-limiting, automatic reconnection strategies, and consistent naming conventions are among the many features Discord4J offers to ensure your Discord bots run-up to Discord's specifications and to provide the least amount of surprises when interacting with our library. Discord4J breaks itself into modules to allow advanced users to interact with our API at lower levels to build minimal and fast runtimes or even add their own abstractions. Discord4J can be used to develop any bot, big or small. We offer many tools for developing large-scale bots from custom distribution frameworks, off-heap caching, and its interaction with Reactor allows complete integration. -
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Erupt Framework
Pure Java annotation, single class file, rapid development
Pure Java annotation, single class file, rapid development of Admin management background. Does not generate any code, zero front-end code, zero CURD, automatic table creation, annotated API, custom service logic, supports all mainstream databases, supports custom pages, supports multiple data sources, provides more than 20 types of business components, more than a dozen It supports logical deletion, dynamic timing tasks, front-end and back-end separation, etc. Core technologies: Spring Boot, JPA, Reflect, TypeScript, NG-ZORRO, etc. Erupt is a low-code full-stack class framework that uses Java annotations to dynamically generate pages and background functions such as adding, deleting, modifying, checking, and permission control. Zero front-end code, zero CURD, automatic table creation, only one class file + simple annotation configuration, quickly develop enterprise-level Admin management background. -
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JVM Sandbox
Real-time non-invasive AOP framework container based on JVM
JVM sandbox container, a JVM non-invasive runtime AOP solution. Real-time non-invasive AOP framework container based on JVM. Dynamically enhance the class you specify, get the parameters and line information you want, and even change the method execution. JVM-SANDBOX (sandbox) implements an AOP solution that does not restart or invade the target JVM application. Static knitting occurs when the bytecode is generated, and the AOP bytecode is inserted into the target class and method in advance according to the rules of a certain framework to realize AOP. Dynamic knitting allows the AOP bytecode enhancement of the specified method to be completed during the JVM operation. Most common dynamic knitting schemes use renaming the original method, and then create a new method with the same signature to do the proxy work mode to complete The function of AOP (common implementation scheme such as CgLib), but there are some application boundaries in this way. -
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MMKV for Android
An efficient, small mobile key-value storage framework
MMKV for Android is an efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, and POSIX. Efficient. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values, making the most of Android to achieve best performance. MMKV supports concurrent read-read and read-write access between processes. Easy-to-use. You can use MMKV as you go. All changes are saved immediately, no sync, no apply calls needed. MMKV contains process locks, encode/decode helpers and mmap logics and nothing more. It's really tidy. MMKV adds about 50K per architecture on App size, and much less when zipped (apk). MMKV is published under the BSD 3-Clause license. Starting from v1.2.8, MMKV has been migrated to Maven Central. Older versions (<= v1.2.7) are still available on JCenter. -
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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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MyBatis
MyBatis SQL mapper framework for Java
MyBatis is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. MyBatis eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. MyBatis can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records. Every MyBatis application centers around an instance of SqlSessionFactory. A SqlSessionFactory instance can be acquired by using the SqlSessionFactoryBuilder. SqlSessionFactoryBuilder can build a SqlSessionFactory instance from an XML configuration file, or from a custom prepared instance of the Configuration class. Building a SqlSessionFactory instance from an XML file is very simple. It is recommended that you use a classpath resource for this configuration, but you could use any InputStream instance, including one created from a literal file path or a file:// URL. -
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Odigos
Distributed tracing without code changes
Odigos supports any application written in Java, Python, .NET, Node.js and Go. Historically, compiled languages like Go have been difficult to instrument without code changes. Odigos solves this problem by uniquely leveraging eBPF. Odigos currently supports all the popular managed and open source destinations. By producing data in the OpenTelemetry format, Odigos can be used with any observability tool that supports OTLP. Odigos automatically scales OpenTelemetry collectors based on observability data volume. Manage and configure collectors via a convenient web UI. Installing Odigos takes less than 5 minutes, and requires no code changes. -
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RePlugin
A flexible, stable, easy-to-use Android plug-in framework
RePlugin is a complete Android plug-in solution which is suitable for general use. Apps do not need to be upgraded to support new components, even brand new plug-ins. With only ONE hook (ClassLoader), NO BINDER HOOK. RePlugin’s Crash ratio is as low as Ten thousandth (0.01%). In addition, RePlugin is compatible with almost ALL Android ROMs in the market. RePlugin supports almost all features seamlessly as an installed application, including static Receiver, Task-Affinity, user-defined Theme, AppCompat, DataBinding, etc. It takes only couple lines to access, whether plug-ins or main programs. RePlugin owns stable plug-in management solution which supports installation, upgrade, uninstallation and version management. Process communication, protocol versions and security check are also included. RePlugin possesses hundreds of millions users from 360 MobileSafe. -
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ServiceTalk
A networking framework that evolves with your application
ServiceTalk is a JVM network application framework with APIs tailored to specific protocols (e.g. HTTP/1.x, HTTP/2.x, etc…) and supports multiple programming paradigms. ServiceTalk is intended to provide a common and extensible networking abstraction on top of a lower-level networking framework (e.g. Netty). Netty is a great low-level networking framework, but when used for service-to-service communication it presents a few opportunities for improvement. Fully asynchronous and requires knowledge of EventLoop threading model. Executing CPU-intensive or "blocking" code requires manual thread hops. Subtle out-of-order execution of tasks when code executes both on and off the EventLoop thread. APIs are not tailored towards common application use cases (e.g. request/response, RPC, etc..) The asynchronous programming paradigm presents a barrier to entry in scenarios where vertical scalability is not a primary concern. -
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Simple Binary Encoding (SBE)
Simple Binary Encoding (SBE) - High Performance Message Codec
SBE is an OSI layer 6 presentation for encoding and decoding binary application messages for low-latency financial applications. This repository contains the reference implementations in Java, C++, Golang, C#, and Rust. More details on the design and usage of SBE can be found on the Wiki. An XSD for SBE specs can be found here. Please address questions about the specification to the SBE FIX community. For the latest version information and changes see the Change Log with downloads at Maven Central. The Java and C++ SBE implementations work very efficiently with the Aeron messaging system for low-latency and high-throughput communications. The Java SBE implementation has a dependency on Agrona for its buffer implementations.
