Open Source Java Frameworks - Page 77
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Java Frameworks
View 166 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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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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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Advanced, enterprise-class J2EE Customer Relationship Management (CRM) suite including Sales Force Automation (SFA), marketing, campaign management, and customer service. Features similar to Salesforce.com, Netsuite, or Siebel OnDemand.
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SoyBeans
A Task Processing Framework for Java
Soy Beans is an HTTP request processing framework written in Java. Written as an alternative to frameworks like Struts and Stripes, it provides a robust and extremely flexible API enabling rapid deployment, and dynamic configuration. -
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Spago (PROJECT MOVED TO ObjectWeb forge) is a J2EE framework that provides a solution to the needs of multichannel applications and integration services. It allows to develop web applications,integrating existing infrastructures and publishing the servic
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SparrowStorage is a storage framework based on MySQL as Storage Node. The framework is stored the data over infinite disturbed Storage Node and suit for infinity storage room. By MySQL replication , it is able to provide fault tolerance storage service.
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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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Spider is a Java framework for creating web applications. Its major design goals are are testing, reducing boilerplate code, avoiding static state through dependency injection, strict M-V-C separation and convention over configuration.
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Spine provides a means of using inversion of control(dependency injection) techniques to create a multi tier application by using a generic model to instantiate java classes specified in configuration along a defined process flow.
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Spock Framework
The Enterprise-ready testing and specification framework
Spock is a testing and specification framework for Java and Groovy applications. What makes it stand out from the crowd is its beautiful and highly expressive specification language. Thanks to its JUnit runner, Spock is compatible with most IDEs, build tools, and continuous integration servers. Spock is inspired from JUnit, RSpec, jMock, Mockito, Groovy, Scala, Vulcans, and other fascinating life forms. -
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Enable the use of J2EE 5 annotations to configure spring framework beans. Keep all the behavior of a bean within itself, and free the developer from having to look in 3 or 4 diferent files to know what a class really does.
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Spring Batch
Spring Batch is a framework for writing batch applications using Java
A lightweight, comprehensive batch framework designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. Spring Batch provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management. It also provides more advanced technical services and features that will enable extremely high-volume and high performance batch jobs through optimization and partitioning techniques. Simple as well as complex, high-volume batch jobs can leverage the framework in a highly scalable manner to process significant volumes of information. -
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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SBAL is a command line tool to launch spring batch. It provides advanced features like displaying the batch version, running resources validations, configuring logging ... It also defines a standard directory structure for deployments
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The Spring Bean Repository project aims to store Spring bean definitions into a central repository hosted on a web server, and to access them using the Eclipse IDE.
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Spring BeanDoc is the tool that facilitates documentation and graphing of Spring bean factories and application context files. Though very easy to use, it is designed to be flexible and extensible to meet most 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 Cloud Kubernetes
Kubernetes integration with Spring Cloud Discovery Client
Spring Cloud Kubernetes provides implementations of well known Spring Cloud interfaces allowing developers to build and run Spring Cloud applications on Kubernetes. While this project may be useful to you when building a cloud native application, it is also not a requirement in order to deploy a Spring Boot app on Kubernetes. If you are just getting started in your journey to running your Spring Boot app on Kubernetes you can accomplish a lot with nothing more than a basic Spring Boot app and Kubernetes itself. To learn more, you can get started by reading the Spring Boot reference documentation for deploying to Kubernetes and also working through the workshop material Spring and Kubernetes. -
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Spring Cloud Tencent
A Spring Cloud based Service Governance Framework
Spring Cloud Tencent is a Spring Cloud-based Service Governance Framework provided by Tencent. Spring Cloud Tencent is an one-stop microservice solution which implements the standard Spring Cloud SPI. It integrates Spring Cloud with Tencent middlewares and makes it easy to develop microservice. -
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Spring Contributions
Some spring-like modules
This project is intented to host a few spring-like modules of my own. -
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Spring Data JPA
Simplifies the development of creating a JPA-based data access layer
Spring Data JPA, part of the larger Spring Data family, makes it easy to easily implement JPA-based repositories. This module deals with enhanced support for JPA-based data access layers. It makes it easier to build Spring-powered applications that use data access technologies. Implementing a data access layer of an application has been cumbersome for quite a while. Too much boilerplate code has to be written to execute simple queries as well as perform pagination, and auditing. Spring Data JPA aims to significantly improve the implementation of data access layers by reducing the effort to the amount that’s actually needed. As a developer, you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically. Pagination support, dynamic query execution, ability to integrate custom data access code. -
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Spring Data MongoDB
Provide support to increase developer productivity in Java
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. The Spring Data MongoDB project aims to provide a familiar and consistent Spring-based programming model for new datastores while retaining store-specific features and capabilities. The Spring Data MongoDB project provides integration with the MongoDB document database. Key functional areas of Spring Data MongoDB are a POJO-centric model for interacting with a MongoDB Document and easily writing a repository-style data access layer. You do not need to build from source to use Spring Data. Binaries are available in repo.spring.io and accessible from Maven using the Maven configuration noted. -
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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 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 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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This project offers extensions of Spring-Framework and Spring-Modules components, either making existing functionality easier and configurable or providing additional functionalities within the same context. This project complements these two frameworks.
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This is a template application that implements a "conversational" extended persistence context: with Spring and Maven: - Annotation-driven Hibernate mappings - Configuration of the AOP-based service layer - A unit- and integration-test framework
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This project provides a set of plugins for the Eclipse platform to ease working with the configuration files for SpringFramework bean factories.
