Showing 4 open source projects for "local"

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  • 1
    React Screenshot Test

    React Screenshot Test

    A dead simple library to screenshot test React components

    A dead simple library to screenshot test React components. Under the hood, we start a local server that renders components server-side. Each component is given its own dedicated page (e.g. /render/my-component). Then we use Puppeteer to take a screenshot of that page. If you work on a team where developers use a different OS (e.g. Mac OS and Linux), or if you develop on Mac OS but use Linux for continuous integration, you would quickly run into issues where screenshots are inconsistent across platforms. ...
    Downloads: 0 This Week
    Last Update:
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  • 2
    Step CI

    Step CI

    Automated API Testing and Quality Assurance

    Step CI is an open-source API Quality Assurance framework. Language-agnostic. Configure easily using YAML, JSON or JavaScript. REST, GraphQL, gRPC, tRPC, SOAP. Test different API types in one workflow. Self-hosted. Test services on your network, locally or with CI/CD. Integrated. Play nicely with others.
    Downloads: 0 This Week
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  • 3
    retrap

    retrap

    Open-Source intelligence tracking and analysis tool.

    (OSINT) Open-Source intelligence tracking and analysis tool. - Disclaimer: This tool is experimental in its Alpha phase. It's developed and published as a small building block of a master's thesis research. So use it for educational purposes only and at your own discretion, the author cannot be held responsible for any damages caused.
    Downloads: 0 This Week
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  • 4
    Hitchhiker

    Hitchhiker

    A restful API test tool

    ...Support Handling response before comparing. Easy to deploy (support docker, windows, Linux), keep data in your control, never lose data. All changes will be auto-saved in the local cache even if refresh page.
    Downloads: 0 This Week
    Last Update:
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    Stop vibe-debugging.

    Plug Claude into your app's actual errors.

    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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