Open Source Python Data Management Systems

Browse free open source Python Data Management Systems and projects below. Use the toggles on the left to filter open source Python Data Management Systems by OS, license, language, programming language, and project status.

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  • 1
    UPDATE: Chromium is no longer updated or maintained. The project is frozen. Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2
    Ubix Linux

    Ubix Linux

    The Pocket Datalab

    Ubix stands for Universal Business Intelligence Computing System. Ubix Linux is an open-source, Debian-based Linux distribution geared towards data acquisition, transformation, analysis and presentation. Ubix Linux purpose is to offer a tiny but versatile datalab. Ubix Linux is easily accessible, resource-efficient and completely portable on a simple USB key. Ubix Linux is a perfect toolset for learning data analysis and artificial intelligence basics on small to medium datasets. You can find additional information, technical guidance, and user credentials on the project website https://ubix-linux.sourceforge.io/ or on the project subreddit https://reddit.com/r/UbixLinux.
    Downloads: 6 This Week
    Last Update:
    See Project
  • 3
    A tool to visualize interactively huge amounts of eventdata. Uses an innovative hierarchical zoomlens scaling from quarters down to 50 ms.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 4
    PBS Cluster Viz
    PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available.
    Downloads: 0 This Week
    Last Update:
    See Project
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  • 5
    StreamMine is a distributed event processing (streaming) infrastructure. You can create low-latency, fault-tolerant stream processing functionality with any stream-oriented operators that can be implemented in Python.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    Yet another GUI for Kernel-based Virtual Machines.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 7
    A tool for autonomous and virtual topical data integration using the focused web-harvesting method.
    Downloads: 0 This Week
    Last Update:
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