jonluca/httpsnippet

HTTPSnippet takes a description of an HTTP request, things like the URL, the HTTP method (GET, POST, etc.), headers, and body data, and automatically generates ready-to-use code snippets for that request in dozens of programming languages and tools. So if you have one API call, you can instantly produce the equivalent cURL command, Python script, JavaScript fetch call, Go code, and many more, without manually rewriting anything. At its core, the tool works by reading a standard format called HAR (HTTP Archive), which is essentially a structured JSON description of web requests. You feed it a HAR file (or a simple object describing the request), tell it which language or tool you want the output in, and it produces the corresponding code. You can use it as a command-line tool to process one or many files at once, or as a JavaScript library embedded directly in your own application. It also supports specific client libraries within each language, for example, in Node.js alone you can choose between the native http module, the popular "request" library, or Unirest. This is useful for anyone building developer tools or documentation. If you run an API platform and want to show users how to call your endpoints in every popular language, this tool automates that. If you are building an API testing tool where users construct requests visually, you can let them export those requests as code in whatever language they prefer. It is already used in production by HTTP Toolkit, a suite of tools for debugging web traffic, to convert captured requests into shareable code snippets. A notable design choice is that the project is built around the HAR standard as its single input format, which keeps things clean and interoperable, many browsers and network tools already export HAR files, so there is a natural pipeline. The project is also extensible: if your favorite language or HTTP client library is not among the built-in options, you can register your own custom conversion target. This version is an actively maintained fork of an older project that had gone stale.