
PyLGEN
Python native compiler framework faster than Lark
What it does
PyLGEN gives you complete control over every stage of language processing. Build interpreters and compilers from scratch without leaving the Python ecosystem. Prototype rapidly in pure Python, then compile to native speed with Cython for production workloads.
Does the same job
all alternatives →- CACannoli – A compiler for a subset of Python written in Rust2018 · github.com · ▲292
- PTPython-to-Python compiler for some 3.6 features in older versions2017 · github.com · ▲87
- ACa compiler from Python syntax to JavaScript syntax (like CoffeeScript)2010 · pyxc.org · ▲32
- FBFastAPI: build Python APIs with Go-like speed and automatic UI docs2019 · fastapi.tiangolo.com · ▲88
- AMA modular Python TUI framework with a fast and pretty markup language2022 · github.com · ▲114
PyTermGUI is a highly modular framework offering most of the features one would expect from a GUI library, such as a mature and open Widget API, animations, mouse support and other goodies, right inside the terminal! The markup language is another great feature of the library, and is used by practically all elements of it. It is based on Rich's implementation, but uses a more concise and easier to humanly parse syntax, while being over 10 times faster at parsing due to a long list of optimizations. There is a full Window Manager API included as well, allowing the user to move, resize and…

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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com