Show HN: A Swiss army knife for testing HTTP from the terminal

This page summarizes the projects mentioned and recommended in the original post on

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  • httpstat

    curl statistics made simple (by reorx)

    thank you! we just grab the timings info for the request from the underlying HTTP library, and sprinkle some ASCII art on top. That part was inspired by httpstat [1]

    We want to extend those with support for Server-Timing next, and also Core Web Vitals [3] (via Playwright) for web pages.


  • web-vitals

    Essential metrics for a healthy site.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • httpie

    As easy as /aitch-tee-tee-pie/ 🥧 Modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.

    Sure, if you've got muscle memory for all the flags (plus it lets you reason about all the other programs that pipe stuff to curl). I personally find myself using httpie [1] at least as much.


  • restclient.el

    HTTP REST client tool for emacs

  • Visual Studio Code

    Visual Studio Code

    Bombardier is cool, but serves a very different use case.

    I mentioned elsewhere in the comments that we have a Docker image, and are working on other methods of installing the CLI to alleviate some of these dependency-related concerns.

    Getting side tracked here, but there seems to be a common sentiment when it comes to Node.js that it's uniquely insecure. Node.js has indeed had some unfortunate press when it comes to supply-chain security, but every other runtime is susceptible to those attacks (PiPy, Gems, Maven, Rust Crates). Ultimately of course, if you choose to avoid using any software built on top of those stacks, that's your choice.

    Artillery specifically is no different to any other Node.js-based project in how large the dependency tree is. VSCode for instance is used by millions of developers has 1.6k dependencies [1].


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