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Showing 4 open source projects for "java spring"

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  • Keep company data safe with Chrome Enterprise Icon
    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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  • 1
    ZK - Simply Ajax and Mobile
    ZK is an open-source Java framework for building modern web and mobile applications. It enables developers to create rich, interactive UIs using only Java — no JavaScript required. With 200+ Ajax-powered components, event-driven architecture, and support for popular technologies like Spring, Java EE, and JSP/JSF, ZK makes it simple to deliver powerful and user-friendly web applications.
    45 Reviews
    Downloads: 15 This Week
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  • 2
    A generic platform for fast and flexible development and delivery of a wide variety of immersive scenario-based games that enable professional skills acquisition. For further information see http://emergo.ou.nl/emergo/community/EN/emergo.htm. The platform is based on ZK framework (http://www.zkoss.org, ZK ZOL license: https://www.zkoss.org/license#peee) and Spring framework (http://www.springsource.org/spring-framework). NOTE: as of 2024, latest (mavenized) code base can be found at...
    Downloads: 0 This Week
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  • 3
    Ajax framework for the Java platform making Java services transparently available to JavaScript. Features include automatic proxy generation, extensible dependency injection support with Spring integration, stateless dependency injections etc.
    Downloads: 0 This Week
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  • 4
    Cross platform and cross browser generic rapid application development studio tool, runs on Java/Reflection, hibernate, spring and DOJO ajax framework. Provides drag and drop design and development of applications live on intranet or internet.
    Downloads: 0 This Week
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  • Deliver trusted data with dbt Icon
    Deliver trusted data with dbt

    dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

    Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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