Showing 448 open source projects for "data"

View related business solutions
  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Try it free
  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
    Try Free
  • 1
    Spring Data Neo4j

    Spring Data Neo4j

    Provide support to increase developer productivity in Java

    ...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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Spring Data REST

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Spring Data MongoDB

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    Spring Data Redis

    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. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • $300 Free Credits for Your Google Cloud Projects Icon
    $300 Free Credits for Your Google Cloud Projects

    Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

    Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
    Start Free Trial
  • 5
    Spring Data JPA

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Apache InLong

    Apache InLong

    Apache InLong - a one-stop integration framework for massive data

    ...InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. The entire platform has integrated 5 modules: Ingestion, Convergence, Caching, Sorting, and Management, so that the business only needs to provide data sources, data service quality, data landing clusters and data landing formats.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 7
    Vespa

    Vespa

    The open big data serving engine

    Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 8
    Apache Sedona

    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. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 9
    ElasticJob

    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...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • 10
    Framework Benchmarks

    Framework Benchmarks

    Source for the TechEmpower Framework Benchmarks project

    If you're new to the project, welcome! Please feel free to ask questions here. We encourage new frameworks and contributors to ask questions. We're here to help! This project provides representative performance measures across a wide field of web application frameworks. With much help from the community, coverage is quite broad and we are happy to broaden it further with contributions. The project presently includes frameworks on many languages including Go, Python, Java, Ruby, PHP, C#,...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 11
    Spring Framework

    Spring Framework

    Comprehensive programming and configuration model for modern apps

    The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications, on any kind of deployment platform. A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
    Downloads: 11 This Week
    Last Update:
    See Project
  • 12
    Apache Beam

    Apache Beam

    Unified programming model for Batch and Streaming

    Apache Beam is an open source, unified programming model to define both batch and streaming data-parallel processing pipelines, as well as certain language-specific SDKs for constructing pipelines and Runners. These pipelines are executed on one of Beam’s supported distributed processing back-ends, which include Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Beam is especially useful for Embarrassingly Parallel data processing tasks, and caters to the different needs and backgrounds of end users, SDK writers and runner writers.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 13
    Light-4J

    Light-4J

    A fast, lightweight and more productive microservices framework

    ...I had been working on the Java EE platforms since early 2000 and suffered performance and productivity issues. In 2014, I realized that the IT industry was moving from Monolithic to Microservices and from on-premise data centers to the public clouds. To reduce the production cost for my applications, I need to find a lightweight platform that has a small memory footprint, high throughput, and low latency in Java. Java EE and Spring/Spring Boot are too heavy to be considered. Other lightweight Java platforms all have different issues on the separation between the business logic and technical cross-cutting concerns. ...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 14
    testng

    testng

    TestNG testing framework

    TestNG is a testing framework inspired from JUnit and NUnit but introduces some new functionalities that make it more powerful and easier to use. Run your tests in arbitrarily big thread pools with various policies available (all methods in their own thread, one thread per test class, etc...).
    Downloads: 4 This Week
    Last Update:
    See Project
  • 15
    Apache Shiro

    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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 16
    Ruoyi-Vue-Pro
    ...Built for scalability and maintainability, it’s designed for Chinese-speaking developers building robust backend management systems, and includes tools for user, role, and permission management, data visualization, and more.
    Downloads: 3 This Week
    Last Update:
    See Project
  • 17
    Odigos

    Odigos

    Distributed tracing without code changes

    ...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.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 18
    Axon Framework

    Axon Framework

    Framework for Evolutionary Message-Driven Microservices on the JVM

    ...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.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 19
    Central Authentication Service (CAS)

    Central Authentication Service (CAS)

    Identity & Single Sign On for all earthlings and beyond

    ...The primary implementation of the protocol is an open-source Java server component by the same name hosted here, with support for a plethora of additional authentication protocols and features. Monitor and track application and system behavior, statistics and metrics in real-time. Manage and review audits and logs centrally, and publish data to a variety of downstream systems. Manage and register client applications and services with specific authentication policies. Cross-platform client support (Java, .NET, PHP, Perl, Apache, etc).
    Downloads: 3 This Week
    Last Update:
    See Project
  • 20
    MyBatis

    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...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 21
    APIJSON

    APIJSON

    Real-Time coding-free, powerful and secure ORM

    APIJSON is an open-source framework developed by Tencent that enables zero-code, real-time, and secure API development. It allows developers to perform CRUD operations through JSON-based requests without writing backend code, significantly accelerating development and reducing errors. APIJSON supports fine-grained access control, parameter validation, and seamless integration with various databases, making it a powerful tool for building scalable APIs.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 22
    Zerocode

    Zerocode

    API automation and load testing framework

    ...Zerocode Open Source enables you to create, change, orchestrate and maintain your automated test cases declaratively with absolute ease. Zerocode makes it easy to create and maintain automated tests with absolute minimum overhead for REST,SOAP, Kafka Real Time Data Streams and much more. It has the best of best ideas and practices from the community to keep it super simple, and the adoption is rapidly growing among the developer/tester community. Zerocode is a modern lightweight, simple and extensible open-source framework for writing test intentions in simple JSON or YAML format that facilitates both declarative configuration and automation. ...
    Downloads: 1 This Week
    Last Update:
    See Project
  • 23
    Spring Batch

    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...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 24
    spring-cloud-gateway

    spring-cloud-gateway

    A Gateway built on Spring Framework and Spring Boot

    ...Coordination of distributed systems leads to boiler plate patterns, and using Spring Cloud developers can quickly stand up services and applications that implement those patterns. They will work well in any distributed environment, including the developer’s own laptop, bare metal data centres, and managed platforms such as Cloud Foundry. Spring Cloud focuses on providing good out of box experience for typical use cases and extensibility mechanism to cover others.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 25
    jimmer

    jimmer

    A revolutionary ORM framework for both java and kotlin.

    ...You can view everything from the documentation. Brings dynamism into static language ORM frameworks, achieving flexible capabilities for operating on complex dynamic data structures without compromising the complete compile-time safety checks of static languages, eliminating DTO explosion and unafraid of engineering expansion and changing requirements. Its innovative SQL DSL supports dynamic table joins and native SQL embedding, gracefully handling real-world complexity. Focuses on business and reaping caching gains. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • 2
  • 3
  • 4
  • 5
  • Next