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Tool profile

kossisoroyce/timber

stable

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.

c99catboostcompilerdecision-treesgradient-boostinginferencelightgbmmachine-learning
Velocity score
0.01/ 10
[STARS]
678
[FORKS]
21
[CONTRIBUTORS]
2
[LAST_COMMIT]
1mo ago
OPEN_ON_GITHUB
Velocity class: stable
Is kossisoroyce/timber still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
444/ 1000
inference · kossisoroyce/timber
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
462
[INSTALL_VEL]
498
[ACTIVITY]
331
[COMMUNITY_SIGNAL]
279

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout