Open Source Python Data Management Systems

Python Data Management Systems

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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.

  • Zenflow- The AI Workflow Engine for Software Devs Icon
    Zenflow- The AI Workflow Engine for Software Devs

    Parallel agents. Multi-agent orchestration. Specs that turn into shipped code. Zenflow automates planning, coding, testing, and verification.

    Zenflow is the AI workflow engine built for real teams. Parallel agents plan, code, test, and verify in one workflow. With spec-driven development and deep context, Zenflow turns requirements into production-ready output so teams ship faster and stay in flow.
    Try free now
  • Auth0 for AI Agents now in GA Icon
    Auth0 for AI Agents now in GA

    Ready to implement AI with confidence (without sacrificing security)?

    Connect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
    Start building today
  • 1
    Gwyddion

    Gwyddion

    Scanning probe microscopy data visualisation and analysis

    A data visualization and processing tool for scanning probe microscopy (SPM, i.e. AFM, STM, MFM, SNOM/NSOM, ...) and profilometry data, useful also for general image and 2D data analysis.
    Leader badge
    Downloads: 1,081 This Week
    Last Update:
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  • 2
    Agaseous-NES is a graphic app for creating integrated circuit layers. Developers can import Agaseous for SuperWikia Alpha .AJA (Agaseous Joint Application) text files to automate & create asauna plates. Also imports and intergrate Adobe .PSD files.
    Downloads: 0 This Week
    Last Update:
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  • 3
    SCiDA Pro

    SCiDA Pro

    Program for solar cell production data analysis

    The purpose of the SCiDA Pro program is to help with processing solar cell production data. It has the following features: - Able to handle large data sets in a fast way (e.g. plotting 100k cell data takes a few seconds) - Easy data filtering - Easy generation of a data summary report - Extensive data plotting features - Cross-platform (Windows/Linux/MacOS) - Supports multiple languages
    Downloads: 0 This Week
    Last Update:
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