Showing 7 open source projects for "java-orm"

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    Build Agents and Models on One Platform

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    MongoDB Atlas runs apps anywhere

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  • 1
    Ahoy

    Ahoy

    Simple, powerful, first-party analytics for Rails

    Ahoy is a first-party analytics library built primarily for Ruby on Rails, designed to let applications track visits and events in a clean, integrated way rather than relying on third-party tooling. It stores data in your own database by default, which gives developers full control over what data is captured, how it's processed, and how it’s used, sidestepping privacy concerns of external analytics providers. The library supports Rails, JavaScript, and native apps, making it flexible across...
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  • 2
    Logstash

    Logstash

    Centralize, transform and stash your data

    Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose.
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  • 3
    GRAIL Real Time Location Service (RTLS)
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  • 4
    Gavrog stands for "Generation, Analysis and Visualization of Reticular Ornaments using Gavrog". It is a Java library together with a suite of interactive applications for the study of periodic net-like structures in space and their applications.
    Downloads: 6 This Week
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    Build Data Resilience - Take the Assessment Today

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  • 5
    Patacritism is a project to develop interpretive tools for online humanities.
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  • 6
    Network Visualization is a mature part of computer science that is enjoying a good deal of growth, partially fueled by Bioinformatics. Network is a synonym for Graph, and both refer to a collection of nodes and edges.
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  • 7
    The purpose of SNX is to have a modular series of components that report back to a central repository and 'AI' for pattern recognition and anomoly detection. This is to help with IDS systems, and to move to the next generation of security.
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