Showing 3 open source projects for "path-setting"

View related business solutions
  • Build Agents and Models on One Platform Icon
    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
    Try It Free
  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Try it free
  • 1
    GJSON

    GJSON

    Get JSON values quickly, JSON parser for Go

    ...It supports parsing JSON lines (newline-delimited JSON) as an array for large stream processing. GJSON also provides modifiers (such as @reverse, @flatten, @keys) which allow transformation or inspection directly via the path syntax. Because it works on raw bytes or strings, it's suited for high-performance JSON parsing without needing to define Go struct types.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 2
    CSON

    CSON

    CoffeeScript-Object-Notation. Same as JSON but for CoffeeScript

    cson (CoffeeScript‑Object‑Notation) is a human-friendly data serialization format similar to JSON but using CoffeeScript syntax, with a library (and CLI) to parse and serialize between CSON, JSON, and JavaScript objects. Executing the method with a callback still executes the method synchronously. Requires or parses a file path of the desired format into an Object If the format option is not specified, we use the filename to detect what it should be; otherwise, we default to parsing CSON.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    Argh

    Argh

    Rust derive-based argument parsing optimized for code size

    ...Subcommands can be modeled without much boilerplate, letting you structure larger CLIs while keeping each command self-contained. The overall feel is “get out of your way”: minimal setup, zero magic, and a straightforward path from argv to validated inputs.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next