Open Source Java Software - Page 56
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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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Save For Offline
Android app for saving webpages for offline reading
Android app for saving webpages for offline reading. Save For Offline is an Android app for saving full web pages for offline reading, with lots of features and options. In you web browser selects 'Share', and then 'Save For Offline'. Saves real HTML files which can be opened in other apps/devices. Download & save entire web pages with all assets for offline reading & viewing. Save HTML files in a custom directory. Save in the background, no need to wait for it to finish saving. Night mode, with both a dark theme, and can invert colors when viewing pages (White becomes black and vice-versa). A search of saved pages (By title only for now). User-agent change allows the saving of either desktop or mobile versions of pages. Nice UI for both phones and tablets, with various choices for layout and appearance. -
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SchemaCrawler
Free database schema discovery and comprehension tool
SchemaCrawler is a free database schema discovery and comprehension tool. SchemaCrawler has a good mix of useful features for data governance. You can search for database schema objects using regular expressions, and output the schema and data in a readable text format. The output serves for database documentation, and is designed to be diff-ed against other database schemas. SchemaCrawler also generates schema diagrams. You can execute scripts in any standard scripting language against your database. You can find potential schema design issues with lint. SchemaCrawler supports almost any database that has a JDBC driver, but for convenience is bundled with drivers for some commonly used RDBMS systems. SchemaCrawler works with any operating system that supports Java SE 8 or better. SchemaCrawler is also a Java API that makes working with database metadata as easy as working with plain old Java objects. -
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Seata
An easy-to-use, high-performance distributed transaction solution
Seata, or Simple Extensible Autonomous Transaction Architecture is an open source distributed transaction solution that brings high performance and easy-to-use distributed transaction services under a microservices architecture. It has 3 basic components: a Transaction Coordinator for maintaining the status of global and branch transactions; a Transaction Manager that defines the scope of global transaction; and a Resource Manager that manages resources being worked on by branch transactions, and drives branch transaction commit or rollback. Seata has played a pivotal role of distributed consistency Middleware in Ali economy, and has provided strong support for businesses of all departments. It continues to be used and trusted by dozens of other companies. -
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Serverless Java container
A Java wrapper to run Spring, Spring Boot, Jersey, and other apps
The AWS Serverless Java Container library is a framework that allows developers to run existing or new Java web applications—built with frameworks such as Spring, Jersey, Spark, Struts—inside AWS Lambda with minimal modifications. It bridges the gap between traditional servlet or web-framework models and serverless functions by mapping HTTP events from API Gateway into requests your framework understands and routing responses back appropriately. This means you can keep much of your familiar Java-based architecture (controllers, filters, dependency injection) and deploy it in a serverless environment without rewriting everything from scratch. The project supports multiple framework flavors and versions, provides archetypes (Maven/Gradle) to scaffold applications, and maintains separate branches for legacy (Java EE/1.x) and modern (Jakarta EE/2.x+) ecosystems. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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SigV4
A SigV4 authentication plugin for the open-source DataStax Java Driver
This package implements an authentication plugin for the open-source Datastax Java Driver for Apache Cassandra. The driver enables you to add authentication information to your API requests using the AWS Signature Version 4 Process (SigV4). Using the plugin, you can provide users and applications short-term credentials to access Amazon Keyspaces (for Apache Cassandra) using AWS Identity and Access Management (IAM) users and roles. The plugin depends on the AWS SDK for Java. It uses AWSCredentialsProvider to obtain credentials. Because the IAuthenticator interface operates at the level of InetSocketAddress, you must specify the service endpoint to use for the connection. You can provide the Region in the constructor programmatically, via the AWS_REGION environment variable, or via the aws.region system property. Use the authentication plugin for the open-source DataStax Java Driver for Cassandra to access Amazon Keyspaces. -
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SiteWhere
An industrial strength open-source application platform for the IoT
SiteWhere is an industrial-strength, open-source IoT Application Enablement Platform that facilitates the ingestion, storage, processing, and integration of IoT device data at a massive scale. The platform leverages a microservices architecture that runs on top of cutting-edge technologies such as Kubernetes, Istio, and Kafka in order to scale efficiently to the loads expected in large IoT projects. SiteWhere embraces a distributed architecture that runs on Kubernetes and provides both infrastructures such as highly-available databases and MQTT brokers as well as microservices to facilitate various aspects of IoT project development. The platform is built with a framework approach using clearly defined APIs so that new technologies may easily be integrated as the IoT ecosystem evolves. SiteWhere is composed of Java-based microservices which are built as Docker images and deployed to Kubernetes for orchestration. -
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Skija
Java bindings for Skia
Skija is a high-performance, Java bindings library for the Skia graphics engine, allowing JVM and Kotlin applications to access the full capabilities of Skia’s 2D GPU-accelerated graphics without writing native code. Skia is the same graphics engine used in Chrome, Android, Flutter, and other platforms, and Skija leverages this robust foundation to provide fast rendering of paths, text, images, transformations, filters, and animations within desktop and embedded Java environments. The project focuses on delivering idiomatic Java/Kotlin APIs that map cleanly to Skia primitives, giving developers a powerful tool for building custom graphics, charting, GUIs, games, and visual effects with minimal overhead. Because Skija runs on top of native Skia libraries via JNI, it delivers performance suitable for real-time interactive applications, high-resolution rendering, and complex vector artwork. -
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SmartRefreshLayout
Refresh layout framework
SmartRefreshLayout's goal is to build a strong, stable and mature pull-down refresh layout framework, and to integrate all kinds of cool, diverse, practical and beautiful Headers and Footers. Support synchronous scrolling with ListView and NestedScrolling with CoordinatorLayout. Support automatically refresh, automatically pull-up loading (automatically detect list inertance and scroll to the bottom without having to manually pull). Support customizing rebound animation interpolator, to achieve a variety of cool animation effects. Support setting a theme to fit any scene of App, it won't appear a cool but very awkward situation. Support setting a variety of transformations (Translation, stretching, behind fixed, top fixed, full screen view) for Headers and Footers. Support rewrite and extension, internal implementation without private methods and fields. Supports the interchange of Header and Footer. -
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Smile
Statistical machine intelligence and learning engine
Smile is a fast and comprehensive machine learning engine. With advanced data structures and algorithms, Smile delivers the state-of-art performance. Compared to this third-party benchmark, Smile outperforms R, Python, Spark, H2O, xgboost significantly. Smile is a couple of times faster than the closest competitor. The memory usage is also very efficient. If we can train advanced machine learning models on a PC, why buy a cluster? Write applications quickly in Java, Scala, or any JVM languages. Data scientists and developers can speak the same language now! Smile provides hundreds advanced algorithms with clean interface. Scala API also offers high-level operators that make it easy to build machine learning apps. And you can use it interactively from the shell, embedded in Scala. The most complete machine learning engine. Smile covers every aspect of machine learning. -
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SoloPi
SoloPi Automated Testing Tool
SoloPi is a wireless, non-intrusive Android automation tool. The public beta version has three main functions: recording and playback, performance testing, and multiple controls on one machine, which can save valuable time for test developers. SoloPi has the ability to record operations. Users only need to execute the use case steps through SoloPi, and SoloPi can record the user's operations and support playback on various devices, all of which can be done independently on the mobile phone. See the recording and playback section for details. SoloPi can record various indicators of the application under test. You can observe the real-time updated data in the floating window, and you can also record the performance data and view the chart after the recording. , memory and network environment to limit, reproduce the performance of the application in the scene of poor performance and poor network environment. -
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Soot
Soot - A Java optimization framework
Soot is a Java optimization framework. It provides four intermediate representations for analyzing and transforming Java bytecode. Baf: a streamlined representation of bytecode which is simple to manipulate. Jimple: a typed 3-address intermediate representation suitable for optimization. Shimple: an SSA variation of Jimple. Grimp: an aggregated version of Jimple suitable for decompilation and code inspection. -
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Spring Boot Examples
Spring Boot tutorials, technology stack example code
spring-boot-examples is a collection of small, runnable projects that teach Spring Boot “by example,” emphasizing minimal dependencies and practical, copy-pasteable patterns. The repository provides multiple standalone demos (e.g., web, scheduling, persistence, messaging, caching, Docker) to help beginners quickly grasp common components and idioms. The author notes that all examples have been updated to Spring Boot 3.0, with earlier 1.x and 2.x code paths kept accessible for reference. Each sample focuses on a single topic—such as Web MVC, WebFlux, Thymeleaf, JPA/MyBatis CRUD, file upload, Redis/MongoDB, RabbitMQ, and containerization—so you can learn one concept at a time and compose them later. There are also demos for testing, packaging (JAR/WAR), and Docker Compose scenarios that combine Spring Boot with Nginx and MySQL. If you want additional topics covered, the maintainer invites requests via issues so the set can keep growing with the community’s needs. -
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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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Spring PetClinic Sample Application
A Spring Framework application based on JSP, Spring MVC
A sample project to demonstrate the capabilities of the Spring Framework, commonly used in tutorials and learning. -
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Spring Statemachine
Framework for application developers to use state machine concepts
The Spring Statemachine project aims to provide a common infrastructure to work with state machine concepts in Spring applications. It is advised to check the actual state of this project by referring to the latest releases found on the Spring Statemachine Project Page. The git repo default branch may be relatively unstable when new features are added to the source code. Spring Statemachine uses a Gradle-based build system. In the instructions below, ./gradlew is invoked from the root of the source tree and serves as a cross-platform, self-contained bootstrap mechanism for the build. -
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Spring and Hibernate for Beginners
Source code for the course: Spring and Hibernate for Beginners
This repository contains code and resources for learning Spring and Hibernate, tailored to beginners looking to understand Java-based web development. Here is a Spring Boot Learning Path and Roadmap to help you learn more about Spring Boot. These are links to luv2code courses on Udemy. You can purchase the courses to further your studies. -
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Spring boot starter for gRPC framework
Spring Boot starter module for gRPC framework
Autoconfigures and runs the embedded gRPC server with @GRpcService-enabled beans as part of the spring-boot application. If you are using Spring Boot Dependency Management plugin, it might pull not the same version as the version this started was compiled against, causing binary incompatibility issue. -
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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. -
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Stagemonitor
An open source solution to application performance monitoring for java
Stagemonitor is a Java monitoring agent that tightly integrates with time series databases like Elasticsearch, Graphite and InfluxDB to analyze graphed metrics and Kibana to analyze requests and call stacks. It includes preconfigured Grafana and Kibana dashboards that can be customized. -
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StickyListHeaders
An android library for section headers that stick to the top
StickyListHeaders is an Android library that makes it easy to integrate section headers in your ListView. These section headers stick to the top like in the new People app of Android 4.0 Ice Cream Sandwich. This behavior is also found in lists with sections on iOS devices. This library can also be used without the sticky functionality if you just want section headers. StickyListHeaders actively supports android versions 2.3 (gingerbread) and above. That said, it works all the way down to 2.1 but is not actively tested or working perfectly. The goal of this project is to deliver a high performance replacement to ListView. You should with minimal effort and time be able to add section headers to a list. This should be done via a simple to use API without any special features. This library will always priorities general use cases over special ones. This means that the library will add very few public methods to the standard ListView and will not try to work for every use case. -
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Swagger Codegen
Template-driven engine to generate documentation
Swagger-Codegen contains a template-driven engine to generate documentation, API clients and server stubs in different languages by parsing your OpenAPI / Swagger definition. Simplify API development for users, teams, and enterprises with the Swagger open source and professional toolset. Find out how Swagger can help you design and document your APIs at scale. The power of Swagger tools starts with the OpenAPI Specification, the industry standard for RESTful API design. Individual tools to create, update and share OpenAPI definitions with consumers. SwaggerHub is the platform solution to support OpenAPI workflows at scale. Swagger open source and pro tools have helped millions of API developers, teams, and organizations deliver great APIs. If the OpenAPI/Swagger spec is obtained from an untrusted source, please make sure you've reviewed the spec before using Swagger Codegen to generate the API client, server stub or documentation as code injection may occur. -
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Swagger2Markup
Swagger to AsciiDoc or Markdown converter
The primary goal of this project is to simplify the generation of up-to-date RESTful API documentation by combining documentation that’s been hand-written with auto-generated API documentation produced by Swagger. The result is intended to be an up-to-date, easy-to-read, on- and offline user guide, comparable to GitHub’s API documentation. The output of Swagger2Markup can be used as an alternative to swagger-UI and can be served as static content. Swagger2Markup converts a Swagger JSON or YAML file into several AsciiDoc or GitHub Flavored Markdown documents which can be combined with hand-written documentation. The Swagger source file can be located locally or remotely via HTTP. Swagger2Markup supports the Swagger 1.2 and 2.0 specifications. Internally it uses the official swagger-parser and my markup-document-builder. You can use Swagger2Markup to convert your contract-first Swagger YAML file into a human-readable format. -
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Swarmpit
Lightweight mobile-friendly Docker Swarm management UI
Swarmpit is an open-source, self-hosted web dashboard that simplifies Docker Swarm cluster operations. It offers management of stacks, services, secrets, volumes, networks, and allows secure team access. It visualizes real-time CPU/memory/disk metrics, supports private registry integration, and streamlines deployment flows. The interface is mobile-friendly and privacy-focused—collecting no telemetry. -
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Takes
True object-oriented Java web framework without NULLs
Takes is a true object-oriented and immutable Java8 web development framework. Pay attention that UTF-8 encoding is set on the command line. The entire framework relies on your default Java encoding, which is not necessarily UTF-8 by default. To be sure, always set it on the command line with file.encoding Java argument. We decided not to hard-code "UTF-8" in our code mostly because this would be against the entire idea of Java localization, according to which a user always should have a choice of encoding and language selection. We're using Charset.defaultCharset() everywhere in the code. Essential part of Bigger Example is Front interface. It's encapsulates server's back-end and used to start an instance, which will accept requests and return results. FtBasic, which is a basic front, implements that interface.
