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Timber – Ollama for classical ML models, 336x faster than Python
336× faster tree model inference; compiles sklearn/XGBoost to C99, serves like Ollama.
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kossisoroyce
207333mo ago
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GitHub Repository
Visualize decision trees in Python
543 starsJavaScript
SuperTree – interactive decision tree plot for sklearn,xgboost,lightgbm
by pplonski86·Jun 9, 2026·2 points·0 comments
AI Analysis
●●SolidSolve My ProblemSlick
Interactive decision tree viz for notebooks when dtreeviz already exists.
Strengths
- •Sample path tracing helps debug why specific predictions were made
- •Works across sklearn, XGBoost, LightGBM, ONNX without model conversion
- •Zoom, pan, and node collapse beats static sklearn plot_tree output
Weaknesses
- •dtreeviz and sklearn's built-in plotting already solve tree visualization
- •No clear differentiator beyond notebook interactivity in a solved category
Category
Target Audience
Data scientists and ML engineers working with tree-based models in Python notebooks
Similar To
dtreeviz · sklearn.tree.plot_tree · graphviz
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