kossisoroyce/timber

Model Serving

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.

GitHub →Website →

5.0

GitHub Metrics

Stars

689

Forks

Open Issues

Watchers

Contributors

Weekly Commits

Language

Python

License

NOASSERTION

Last Commit

Apr 16, 2026

Created

Feb 28, 2026

Latest Release

v0.6.0

Release Date

Apr 16, 2026

Synced: Oct 17, 2026

Quality Scores

Documentation Qualityw: 20%

6.1

Has docs site (https://pypi.org/project/timber-compiler/). Description: 221 chars. Stars signal: 689. Contributors: 2. Score: 6.1/10

Community Healthw: 20%

3.2

Stars: 689. Contributors: 2. Watchers: 1. Forks: 23. Issue ratio: 0.1%. Score: 3.2/10

Maintenance Velocityw: 15%

4.2

Last commit: 184d ago. Weekly commits: 0. Latest release: v0.6.0. Score: 4.2/10

API Design & DXw: 20%

7.3

Stars/issues ratio: 689. Dynamic language: Python. Has documentation site. License: NOASSERTION. Popularity signal: 689 stars. Score: 7.3/10

Production Readinessw: 15%

3.8

Battle-tested: 689 stars. Peer review: 2 contributors. Versioned: v0.6.0. Licensed: NOASSERTION. Age: 0.6 years. Maintenance: last commit 184d ago. Score: 3.8/10

Ecosystem Integrationw: 10%

4.9

Fork interest: 23. Major ecosystem: Python. License: NOASSERTION. Adoption: 689 stars. Has web presence. Score: 4.9/10