Showing 3 open source projects for "maps"

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    World Monitor

    World Monitor

    Real-time global intelligence dashboard

    ...Built primarily with TypeScript and modern web technologies, the project aims to reduce information fragmentation by consolidating hundreds of curated feeds into a single interactive environment. The platform emphasizes geospatial context through features such as interactive maps and a 3D WebGL globe, enabling users to visualize global events dynamically. It incorporates AI-assisted summarization and local LLM support to help users process large volumes of information more efficiently. The application can run as a native desktop app or progressive web app, reflecting a focus on accessibility and offline-capable intelligence workflows. ...
    Downloads: 98 This Week
    Last Update:
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  • 2
    OSIRIS

    OSIRIS

    Open Source Global Intelligence Platform

    ...It is designed as a web dashboard that brings together aviation, maritime, CCTV, seismic, fire, weather, space, news, and cyber-related data into one interface. The project uses modern web technologies to render large numbers of entities visually and interactively on maps and dashboards. It positions itself as a transparent alternative to closed intelligence platforms by aggregating public and open-source feeds. Osiris is useful for analysts, researchers, journalists, and technical teams who need a unified view of fast-changing global events. Its main value is combining many OSINT streams into a single operational picture instead of forcing users to monitor separate tools.
    Downloads: 6 This Week
    Last Update:
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  • 3
    RedAmon

    RedAmon

    AI-powered framework for automated penetration testing and red teaming

    ...It combines artificial intelligence with traditional penetration testing tools to create a fully autonomous pipeline capable of discovering vulnerabilities and executing security assessments without human intervention. It begins with a multi-phase reconnaissance engine that maps the entire attack surface of a target, collecting information such as subdomains, open ports, services, and potential vulnerabilities. RedAmon then uses an AI agent orchestrator to analyze this data, select appropriate tools, and perform exploitation steps such as credential brute forcing or CVE-based attacks. All discovered assets, relationships, and vulnerabilities are stored in a Neo4j knowledge graph, allowing the system to reason about the environment and make informed decisions during the attack process.
    Downloads: 6 This Week
    Last Update:
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