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Showing 4 open source projects for "linux basic programming"

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  • Apify is a full-stack web scraping and automation platform helping anyone get value from the web. Icon
    Apify is a full-stack web scraping and automation platform helping anyone get value from the web.

    Get web data. Build automations.

    Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts.
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  • Self-hosted n8n: No-code AI workflows Icon
    Self-hosted n8n: No-code AI workflows

    Connect workflows. Integrate data

    A free-to-use workflow automation tool, n8n lets you connect all your apps and data in one customizable, no-code platform. Design workflows and process data from a simple, unified dashboard.
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  • 1
    .Net library for retrieving data from a NMEA serial GPS device
    Downloads: 0 This Week
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  • 2
    fGPS is a code system that provides both latitude and longitude in a simple alfanumeric system that is easier to input in GPS devices, and easier to provide by phone or sms than standard coordinate systems.
    Downloads: 0 This Week
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  • 3
    CUAHSI OpenHIS: Open Hydrological Information System is sponsored by National Science Foundation to develop infrastructure and services for the advancement of hydrologic science and education developed by Joe Hu,MapWindow software lab,Idaho State Univers
    Downloads: 2 This Week
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  • 4
    GaiaPocket is a mobile GIS client written on .NET Compact Framework 2.0, using common OGC protocols such as WMS and WFS. You can use GaiaPocket libraries to build your own GIS client in no time.
    1 Review
    Downloads: 0 This Week
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  • Intelligent testing agents | Checksum.ai Icon
    Intelligent testing agents | Checksum.ai

    Checksum generates, runs, and maintains end-to-end tests automatically so your team ships with confidence as code output grows.

    Coding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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