Alternatives
Products that do what cataclysm v0.1 – the final Python module? does
cataclysm is an over-the-top experiment to take more of the human out of coding. Any function you give it, it generates and executes. No need to think about what you need, it'll make it for you. I haven't taught it to use itself yet if a module isn't installed, but that's next on the agenda once GPT4 isn't so slow. Video intro here: https://www.youtube.com/watch?v=ZK8fUuQDgZ4 Some random examples when using global cataclysm: >>> uhoh = first_prime_with_3_digits() >>> print(uhoh) 101 >>> scary_words = get_italicized_phrases_wikipedia(page="Global catastrophic risk",…
- 1PP
Hi everyone! I just released the Practical Python Projects book! (https://practicalpython.yasoob.me) I am happy to announce the first version as a release candidate. I have poured a lot of love into writing this book and would love to hear what you guys think. (A limited 100% off and discount coupons at the end) This is not a pure beginner book. The book does assume some background Python knowledge. You need to know the basics like methods, functions, classes, and such. If I use something that is not typically covered in beginner Python books, I will explain it before I use it.…
2021 · practicalpython.yasoob.me
- 2IW
Background: I've been working on a book to help developers learn and write idiomatic Python. It's taken far longer than I imagined, but today I made it available for purchase (http://www.jeffknupp.com/writing-idiomatic-python-ebook). The automated build and test system I'm using is ridiculous. It uses: virtualenv, tox, pytest, coverage, doctest, pandoc, make, xelatex, makeindex, and a ~200 line Python script to collect and format the output. The details of the build/test system I created are described in detail here:…
2013
- 3MF
Hey HN. I've just launched my very first webappp and would love your feedback. http://www.7bks.com It's a book list sharing website - kind of like playlists for bookworms. The site is built on pyton/appengine - and I learned to code in under 4 weeks to build the site. There's more details on the background of the site here: http://www.7bks.com/blog/179001 I've also published the full Python code for the site here: https://gist.github.com/670034 Feedback is really important to me and I want to work hard to make the site better so any and all suggestions are greatly appreciated. Contact…
2010
- 4AL
Inspired by Simon Willison's blog post that was catalyzed by this HN post: https://news.ycombinator.com/item?id=34598024 wasm_exec is a Wasm-powered, sandboxed implementation of exec() for safely running dynamic Python code There are number of use-cases emerging that require arbitrary code execution, often code that is generated by LLMs (Large Language Models) like ChatGPT. This can enable some really cool functionality - like generative BI or website generation - but also introduce a massive security flaw if implemented via eval() or exec(). This is because arbitrary code can…
2023 · github.com
- 5OA
https://github.com/gugarosa/opytimizer Did you ever reach a bottleneck in your computational experiments? Are you tired of selecting suitable parameters for a chosen technique? If yes, Opytimizer is the real deal! This package provides an easy-to-go implementation of meta-heuristic optimizations. From agents to search space, from internal functions to external communication, we will foster all research related to optimizing stuff. Use Opytimizer if you need a library or wish to: - Create your optimization algorithm; - Design or use pre-loaded optimization tasks; -…
2021
- 6PA
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
- 7MW
This is a little project I've been working on for a while in order to better learn Python. Although IRC may not exactly be the most exciting medium, I still find it to be fun and useful, this interest lead me to writing a bot. In doing this I realized that what would actually be more interesting would be if I had a framework. There may already be such a thing, certainly there are IRC libraries, but I don't know if they're well-suited to deploying bots. At any rate if for no other reason than the fact that I am relatively new to programming and eager to learn I decided to build a framework.…
2011
- 8FO
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
- 9UI
Hey everyone! I am excited to share updates on four of my & my teams' open-source projects that take large-scale search systems to the next level: USearch, UForm, UCall, and StringZilla. These projects are designed to work seamlessly together, end-to-end—covering everything from indexing and AI to storage and networking. And yeah, they're optimized for x86 AVX2/512 and Arm NEON/SVE hardware. USearch [1]: Think of it as Meta FAISS on steroids. It's now quicker, supports clustering of any granularity, and offers multi-index lookups. Plus, it's got more native bindings than probably…
2023 · usearch-images.com
- 10RA
We built RapidFire AI, an open-source Python tool to speed up LLM fine-tuning and post-training with a powerful level of control not found in most tools: Stop, resume, clone-modify and warm-start configs on the fly—so you can branch experiments while they’re running instead of starting from scratch or running one after another. - Works within your OSS stack: PyTorch, HuggingFace TRL/PEFT), MLflow. - Hyperparallel search: launch as many configs as you want together, even on a single GPU - Dynamic real-time control: stop laggards, resume them later to revisit, branch promising configs in…
Sep 2025 · github.com
- 11LP
I'm working on a FOSS project to teach Python Programming by writing code that interacts with a Minecraft world. Full instructions and tutorials are provided in the documentation. Please try out out and give some feedback!
2022 · github.com
- 12IB
2025 · github.com
- 13IC
Read an article about analyzing Garmin data with AI. Sounded great — except I didn't want to send my health data to any cloud service. So I asked Claude to write me 2-3 scripts and a dashboard. This escalated a bit. 30 days and 20$ later I have this: A local-first Garmin archive with interactive HTML dashboards, Excel exports, weather and pollen context, AES-256 encrypted token storage, and a self-healing data pipeline with 515 automated tests. Windows desktop app, no terminal needed. Nothing leaves your machine. I never wrote a line of Python. I understood the problems and made the…
Apr 2026 · github.com
- 14TA
Hi HN! I’ve spent the summer of the past 2 years building The Atlas, a procedural universe simulator that generates 1 sextillion galaxies (10²¹) from a single mathematical seed. Think No Man’s Sky meets theoretical physics, but running entirely in your browser. Everything is purely deterministic, the universe is calculated from SHA-256 hashed seeds using the golden ratio as primordial constant. There’s no database, no pre-saved data, just pure math. Time itself is treated as a coordinate, so the universe exists as a 4D structure where any moment can be computed on demand. Shut it down for…
Sep 2025 · github.com
- 15TE
Hi! I’ve always wanted a simple way to throw my Python projects online. Just to try things out, share them, or test a webhook with a real endpoint. But every time I hit the same wall: Buy a server, Set up HTTPS, Configure DNS, Get a domain. Write boilerplate to glue it together. It always felt like too much for something so small that I wanted to test. So Ive been hacking on Thread4 (currently in alpha): a tiny platform where you can write a Python function and go live instantly at yourname.thread4.eu. It’s not for production use, just quick testing, experimenting, or sharing your idea…
2025 · thread4.eu
- 16IE
Quick note on how it works and how I've done my batch embedding engine IgniteMS. The whole thing runs as one process using Rust, reading input, tokenizing, packing batches, keeping the queue full. TensorRT handles inference. Python is only as a wrapper. I built it this way because when you use more than couple of GPUs, the GPUs stop being the problem. CPU cannot feed them fast enough. One A100 can go through batches faster than Python can tokenize and feed, so the GPU just sits there idle waiting for work. Most of my time went into optimizing this. At 8 GPUs that was basically the entire…
Jun 2026 · github.com
- 17MS
@cmpyl Tweet a line of python at it (right now it works best with math) and it'll tweet back at you the return value. Ex: https://twitter.com/#!/cmpyl/status/186850674053615616 Pretty useless little bot but it will be cool to see what sort of wild one liners it finds.
2012
- 18NL
Built this because I was tired of every AI tool shipping my data to someone else server n0x runs the full stack LLM inference via WebGPU, autonomous ReAct agents, RAG over your own docs, sandboxed Python execution via Pyodide all inside a single browser tab. No account No keys No backend Models download once, cache in IndexedDB permanently. Biggest challenge was context window budgeting for the agent loop and making the WASM vector search non-blocking. Happy to talk architecture. GitHub: https://github.com/ixchio/n0x | Live demo: https://n0x-three.vercel.app
Mar 2026 · n0xth.vercel.app
- 19AA
Hey HN! We built Achilles, a tool that automatically accelerates your Python code. It identifies performance bottlenecks, rewrites those functions in optimized C++, and seamlessly patches them into your running program—without you changing a single line of code. In CPU-intensive, loop-heavy tasks, we've observed performance improvements of 100-1000x. Achilles can be installed via pip and works with just a single command. We'd appreciate your feedback, and feel free to give us a star if you find it interesting!
2025 · github.com
- 20LA
We combined Stanford's ACE (agents learning from execution feedback) with the Reflective Language Model pattern. Instead of reading traces in a single pass, an LLM writes and runs Python in a sandbox to programmatically explore them - finding cross-trace patterns that single-pass analysis misses. The framework achieved 2x consistency improvement on τ2-bench.
Mar 2026 · github.com
- 21WR
A while ago I started experimenting with compiling the Python interpreter to WASM. To build a secure, fast, and lightweight sandbox for code execution — ideal for running LLM-generated Python code.
2024 · github.com
- 22AO
Hi It's Logan (op) and David, we are launching our first open source Python SDK generator with other languages to come :) We built this because we believe that the OpenAPI Generator project is a mess and simply doesn't work for most users (us included). Additionally, proprietary generators miss the mark for complex use cases, and restrict developers from doing what they do best: writing code. On top of all that they force you into proprietary configuration layers for many desirable features which increases vendor lock in and pulls you further away from your API spec as the source of truth.…
2025 · github.com
- 23PR
MicroPython (lexer, compiler and VM) on the SNES: 3.58 MHz 65816, 56 KB Python heap, 16-bit int. The REPL runs right inside the post via EmulatorJS and also works on real hardware via flashcart. I did this as a benchmark for Claude Fable. When the export ban hit, switching to Opus got the project stuck for three weeks; Fable came back and found the real bug in ninety minutes. Along the way: 23 compiler bugs and 4 MicroPython bugs, each root-caused with a minimal reproducer and filed upstream. If you run it on real hardware, I want a picture!
Jul 2026 · fabian-kuebler.com
- 24BA
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
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