2 projects for "cgo" with 2 filters applied:

  • Paessler - Monitor Your Whole Network in Minutes Icon
    Paessler - Monitor Your Whole Network in Minutes

    Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

    Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    GoNB

    GoNB

    GoNB, a Go Notebook Kernel for Jupyter

    ...GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this.
    Downloads: 8 This Week
    Last Update:
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  • 2
    go-perfbook

    go-perfbook

    Thoughts on Go performance optimization

    ...The material covers measurement workflows, data and algorithm changes, benchmarking, program tuning, garbage collection, compiler behavior, and standard-library pitfalls. Later chapters examine unsafe operations, cgo, assembly, advanced techniques, service-wide optimization, profiling, and tracing. The project emphasizes measuring real bottlenecks before changing code rather than relying on intuition. Community contributors can expand topics, add resources, and develop additional prose or examples. The book is available in English, Chinese, Spanish, and Brazilian Portuguese.
    Downloads: 0 This Week
    Last Update:
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