Showing 7 open source projects for "linux system"

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  • 1
    GitNexus

    GitNexus

    Zero-Server Code Intelligence Engine

    GitNexus is a zero-server code intelligence engine that builds an interactive knowledge graph of a codebase entirely within the user’s browser. The tool allows developers to drop in a GitHub repository or ZIP archive and automatically generate a relational map of files, dependencies, and structural relationships. Its core concept centers on precomputed relational intelligence, enabling AI systems to retrieve comprehensive context with minimal queries. GitNexus includes a built-in Graph RAG...
    Downloads: 10 This Week
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  • 2
    nw_wrld

    nw_wrld

    nw_wrld is an event-driven sequencer for triggering visuals

    nw_wrld is a procedurally generated world-building engine tailored for game developers and interactive storytellers who want to craft rich, random yet coherent environments without hand-crafting every detail. It uses noise functions and modular terrain algorithms to generate expansive maps, diverse biomes, and layered features like rivers, mountain ranges, forests, and resource nodes. The system is designed to be extensible, letting developers plug in new generation rules or tweak parameters...
    Downloads: 1 This Week
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  • 3
    Checkmate

    Checkmate

    Checkmate is an open-source, self-hosted tool

    Checkmate is an open-source, self-hosted infrastructure monitoring platform that provides real-time visibility into server health, uptime, response times, and incident activity through a modern web interface. The application continuously checks whether websites and services are accessible and performing optimally, generating alerts and reports when availability or performance degrades. It supports detailed infrastructure monitoring through an optional agent called Capture, which collects...
    Downloads: 0 This Week
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  • 4
    luma.gl

    luma.gl

    High-performance Toolkit for WebGL-based data visualization

    luma.gl is a GPU toolkit for the Web-focused primarily on data visualization use cases. luma.gl aims to provide support for GPU programmers that need to work directly with shaders and want a low abstraction API that remains conceptually close to the WebGPU and WebGL APIs. Unlike other common WebGL APIs, the developer can choose to use the parts of luma.gl that support their use case and leave the others behind. While generic enough to be used for general 3D rendering, luma.gl's mandate is...
    Downloads: 0 This Week
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    Application Monitoring That Won't Slow Your App Down

    AppSignal's Rust-based agent is lightweight and stable. Already running in thousands of production apps.

    Full APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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  • 5
    Data Formulator

    Data Formulator

    Create rich visualizations with AI

    To create rich visualizations, data analysts often need to iterate back and forth among data processing and chart specification to achieve their goals. To achieve this, analysts need not only proficiency in data transformation and visualization tools but also efforts to manage the branching history consisting of many different versions of data and charts. Recent LLM-powered AI systems have greatly improved visualization authoring experiences, for example by mitigating manual data...
    Downloads: 0 This Week
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  • 6

    MTTK Open BI

    A user-friendly lightweight BI tool.

    A user-friendly lightweight BI tool. It is a set of plugins of MTTK Lowcode Engine, so the user manual and develop manual are combined together with MTTK Low Code Engine. Code repository: https://github.com/jamie-mttk/mttk-lowcode-designer Online demo available at http://139.129.210.30:8825 (First visit may be slow) Username: admin Password: 123456 Lightweight No data processing engine offered, all the data processing depends on the target Databse Server. Easy to use For...
    Downloads: 0 This Week
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  • 7
    Facets

    Facets

    Visualizations for machine learning datasets

    The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. Explore Facets Overview and Facets Dive on the UCI Census Income...
    Downloads: 0 This Week
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