kossisoroyce/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.

654 20 +0/wk

GitHub

c99 catboost compiler decision-trees gradient-boosting inference lightgbm machine-learning mlops model-serving ollama onnx

Trend 3

Star & Fork Trend (20 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 654

forks 20

Growth Velocity

kossisoroyce/timber has +0 stars this period . 7-day velocity: 0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	timber	Awesome-Reasoning-Foundation-Models	moa	verde
Stars	654	654	654	654
Forks	20	61	368	73
Weekly Growth	+0	+0	+0	+0
Language	Python	N/A	Java	Python
Sources	1	1	1	1
License	NOASSERTION	MIT	GPL-3.0	BSD-3-Clause

Capability Radar vs Awesome-Reasoning-Foundation-Models

timber

Awesome-Reasoning-Foundation-Models

Maintenance Activity 89

Last code push 26 days ago.

Community Engagement 64

Fork-to-star ratio: 3.1%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.