Python Cloudflare Workers

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  1. workerd

    The JavaScript / Wasm runtime that powers Cloudflare Workers

    In any case, I welcome this initiative with my open hands and look forward all the cool apps that people will now build with this!

    [1] https://pyodide.org/

    [2] https://github.com/cloudflare/workerd/blob/main/docs/pyodide...

    [3] https://github.com/cloudflare/workerd/pull/1875

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. workers-rs

    Write Cloudflare Workers in 100% Rust via WebAssembly

    - The speed of the Python interpreter running in WebAssembly

    Today, Python cold starts are slower than cold starts for a JavaScript Worker of equivalent size. A basic "Hello World" Worker written in JavaScript has a near zero cold start time, while a Python Worker has a cold start under 1 second.

    That's because we still need to load Pyodide into your Worker on-demand when a request comes in. The blog post describes what we're working on to reduce this — making Pyodide already available upfront.

    Once a Python Worker has gone through a cold start though, the differences are more on the margins — maybe a handful milliseconds, depending on what happens during the request.

    - There is a slight cost (think — microseconds not milliseconds) to crossing the "bridge" between JavaScript and WebAssembly — for example, by performing I/O or async operations. This difference tends to be minimal — generally something measured in microseconds not milliseconds. People with performance sensitive Workers already write them in Rust https://github.com/cloudflare/workers-rs, which also relies on bridging between JavaScript and WebAssembly.

    - The Python interpreter that Pyodide provides, that runs in WebAssembly, isn't as fast as the years and years of optimization that have gone into making JavaScript fast in V8. But it's still relatively early days for Pyodide, compared to the JS engine in V8 — there are parts of its code where we think there are big perf gains to be had. We're looking forward to upstreaming performance improvements, and there are WebAssembly proposals that help here too.

  4. urllib3

    urllib3 is a user-friendly HTTP client library for Python

    As opposed to what the article says, urllib3 now has experimental support for browser as of Jan 30th.

    Source: https://github.com/urllib3/urllib3/releases/tag/2.2.0

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that Python is
the 2nd most popular programming language
based on number of references?