timber

Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.

compiler

View on GitHub Website

668 Stars

20 Forks

668 Watchers

Python Language

other License

100 SrcLog Score

Cost to Build

$42.0K

Market Value

$169.0K

How is this calculated?

Growth over time

2 data points · 2026-04-12 → 2026-04-20

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about timber

Question copied to clipboard

What is the kossisoroyce/timber GitHub project? Description: "Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone timber

Clone via HTTPS

git clone https://github.com/kossisoroyce/timber.git

Clone via SSH

[email protected]:kossisoroyce/timber.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the timber issue tracker:

Open GitHub Issues

Similar to timber

webpack rust babel parcel kotlin marked pkg v8 svelte gopherjs Nim compiler kotlin-native lebab compiler-explorer rescript opal red scala-js scala-native phenomic awesome-compilers swift hy Halide haxe enso prototype write-you-a-haskell clang