Alternatives
Products that do what I made calling WebAssembly from Python 25x times Faster does
I found a serious bottleneck in Python binding of Wasmer and Wasmtime and I found a trick to make 25x faster. Then beat all that using NumPy.
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2020 · github.com
- 2AE
2019 · easyprog.online
- 3WA
2019 · github.com
- 4AE
2021 · easylang.online
- 5PT
2014 · github.com
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- 7FO
Recently, I saw few Python accelerators getting a lot of attention, and I thought it would be a good time to finally present the project that we will make available to test in the upcoming days. Flyable is an ahead-of-time compiler that takes your Python code, analyses it, and outputs very optimized machine code. Micro-benchmarks show that it produces programs that run between 10-70x time faster than Python. Flyable is certainly one of the fastest and easiest ways to accelerate your Python code. It finally allows Python to compete in the ring of fast and efficient languages without having to…
2020
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2019 · fastapi.tiangolo.com
- 9BT
2014 · python.blockspring.com
- 10BA
Hi HN, We’ve all accepted the "Python tax"—you trade execution speed for developer happiness. But what if that trade-off was a thing of the past? I just came across BustAPI, and it’s basically a "cheat code" for Python web services. It’s not just another wrapper; it’s a hybrid engine that embeds a Rust (Actix-Web) core directly into the Python runtime. Is this the end of the "slow Python" era? The benchmarks are pretty shocking. I’d love to see someone stress-test this against a production-grade Go or Node.js setup. Repo: https://github.com/GrandpaEJ/BustAPI Benchmarks:…
Dec 2025 · github.com
- 11WV
2022 · wasm-on-the-edge.vercel.app
- 12HF
2020 · trprt.io
- 13CX
2020 · leaningtech.com
- 14WI
Hey Everyone, I just ran a [rather silly] race between Puppeteer (JS), Playwright (Python) and Selenium (Python) to see which one would be fastest on a simple scrape (using Google Colab so you can also run it) Far from a comprehensive benchmark, this race is 100% free from advanced configurations, multi-threading or anything complicated. It just opens Wallapop (a second hand marketplace in Spain) and times how long it takes to extract the first 2000 results of a search. If you like this simple format, have any ideas on how to improve a race like this or have a strong urge to prove Ward…
2023 · colab.research.google.com
- 15WF
Hi HN! We (pdubroy & marianoguerra) just launched an online book called WebAssembly from the Ground Up. It's an online book to learn Wasm by building a simple compiler in JavaScript. This is the book we wish we'd had 3 years ago. Unlike many WebAssembly resources that focus on use cases and tooling, we wanted a deep dive into how Wasm actually works. We focus on the core of WebAssembly: the module format and the instruction set. We think the low-level details — the "virtual ISA" — are the most interesting part, and we had the crazy idea that writing a compiler is the best way to learn it.…
2025 · wasmgroundup.com
- 16JA
2015 · hperadin.github.io
- 17WS
2019 · webassembly.sh
- 18D5
Hi HN! I built dhi, a data validation library that uses Zig to compile to both native C (Python) and SIMD WASM (TypeScript). Key points: - Drop-in API compatibility with Pydantic (Python) and Zod (TypeScript) - Python: 24.9M validations/sec (520x faster than Pydantic V2) - TypeScript: up to 77x faster than Zod on invalid data - 28KB WASM bundle, zero JS runtime overhead I'd love feedback on the API surface, benchmarks, and real-world integration pain points. If you're curious, the repo has full benchmarks and examples.
Jan 2026 · github.com
- 19GV
2018 · made2591.github.io
- 20AE
2016 · github.com
- 21WA
The Problem I’ve been using BeautifulSoup for sometime. It’s the standard for ease-of-use in Python scraping, but it almost always becomes the performance bottleneck when processing large-scale datasets. Parsing complex or massive HTML trees in Python typically suffers from high memory allocation costs and the overhead of the Python object model during tree traversal. In my production scraping workloads, the parser was consuming more CPU cycles than the network I/O. Lxml is fast but again uses up a lot of memory when processing large documents and has can cause trouble with malformed…
Apr 2026
- 22PA
Hello everyone! My friend Ori Kabeli and I have been playing around with GPT-4 Vision as a way to control websites and complete complicated tasks online. We created a small proof of concept python package called pywebagent. pywebagent allows performing high level tasks in websites, accessible to developers as simple python functions. It is highly experimental, and only sometimes works, but we think it still might be useful to all you tinkerers out there. Feel free to contribute! Example Use Case: You can order things from amazon with one line of code. pywebagent.act(…
2023 · github.com
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2017 · github.com
- 24FP
As developers, we've used StackOverflow, blogs, tutorials, etc to solve our day-to-day code issues and we've been able to find answers to virtually all of our questions. At the same time, CodePen, CodeSandbox, JSFiddle, etc have made it simple to share and execute code for frontend developers but when I look for folks working at the backend side (preferably Python) there is nothing that entices the whole developer community yet. While other Python sandbox solutions are available, they do not provide installation choices or are not intended for embedding and sharing. With this thought, we…
2022 · pythonsandbox.dev
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