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 t
- Stars
- 689
- Forks
- 23
- Open issues
- 1
- Last push
- 6mo ago
About timber
timber is a free, open-source AI inference tool by kossisoroyce, written mainly in Python. 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 t. It has 689 GitHub stars and 23 forks, and was last updated 6mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially. According to the project, it works on macOS.
- License
- Not detected
- Language
- Python
- Stars
- 689
- Last update
- 6mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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timber FAQ
Is timber free?
Yes. timber is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does timber run on a Mac?
Yes. According to the project, timber works on macOS.
Does timber need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is timber still maintained?
It was last updated 6mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to timber?
Similar free, open-source tools include BentoML, catboost, vllm, DeepSpeed.