Alternatives
Products that do what LPY LLM Based compiler to Python does
https://github.com/wandwan/LPY (April Fools)
- 1PT
2017 · github.com
- 2HT
2017 · blog.klipse.tech
- 3PT
2020 · github.com
- 4AC
2010 · pyxc.org
- 5PP
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
- 6SH
2017 · pixel-druid.com
- 7NL
Hey folks, I just wanted to share a quick script I threw together called notational ls. One of the big problems of any code base (or any filesystem) is that it's hard to tell what's what - folder and file names often trade brevity for clarity. So I thought about a version of `ls` that works like this: > nls web: Where python web server files are stored ad_hoc: One time scripts ios: Our IOS code images Adding descriptions is really easy too: > nls images Images SHARED between both ios and web web: Where python web server files are stored ad_hoc: One time scripts ios: Our IOS code…
2011
- 8AE
2016 · github.com
- 9IL
2023 · github.com
- 10VA
https://github.com/iogf/vy
2017
- 11CR
hi everyone. how does moving llm call prompts and output structure definitions away from code into configuration land sound? would you use something like this if it was stable and well documented enough? please don't hold back the criticism. i appreciate all feedback (constructive & otherwise).
2024 · github.com
- 12WB
Here is a production-first Keras-inspired LM framework, built with the advice of François Chollet (ex-Google, creator of Keras and ARC-AGI), our technical advisor. This system have already been deployed in production with our clients (which is why we have already every LLMOps practice implemented). It is also compatible with Jupyter and Marimo to integrate seamlessly in you Data Scientists workflows. You can try the code examples online on HF space and you can find more information in the documentation and FAQ. If you have any feedback for us don't hesitate to join our discord! More releases…
2025 · github.com
- 13LW
Apr 2026 · github.com
- 14MS
@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
- 15LC
2023 · github.com
- 16AS
2020 · github.com
- 17PA
2018 · github.com
- 18PT
2021 · github.com
- 19AC
2021 · gist.github.com
- 20IL
2025 · github.com
- 21UA
Hey HN! After using a combination of Unsloth and Axolotl a lot, and finding it generally painful to figure out the right performance tuning for things like batch sizing and multi-GPU sharding, I wrote a small Python lib that sets up known-good LoRA training configurations for Llama 3.1 8B and 70B Instruct, and includes helpers for distilling from larger models or training on serverless finetuning platforms, and includes a walkthrough for distilling DeepSeek-R1 into a Llama 3.1 8B LoRA... But you can use it for pretty much any finetuning task, not just distilling large models!
2025 · github.com
- 22LA
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
- 23IA
May 2026 · github.com
- 24I8
Jan 2026 · github.com
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