imbalanced-learn
Toolbox for handling imbalanced datasets in machine learning.
ML and data science PyPI MIT
How imbalanced-learn is used
imbalanced-learn is a dependency in 2 of the 6,208 public GitHub projects set up for AI coding agents that we scanned, too few to describe it from them alone. Our scan also samples projects by dependency (Solana 2,661, Ethereum and EVM 1,496, 3D and games 2,818, agent frameworks and SDKs 10,983); counting those, it appears in 87 projects, and what it is used with below comes from all of them. Projects that use it most often also use Matplotlib (95.4%), NumPy (90.8%), joblib (89.7%).
imbalanced-learn popularity over time
Gid Score 54: downloads 67, use in agent projects 49, GitHub stars 44, downloads trend 46 (each 0-100). How it is calculated.
Often used with imbalanced-learn
| Matplotlib | 95.4% of imbalanced-learn projects · 35.5× more than average |
|---|---|
| NumPy | 90.8% of imbalanced-learn projects · 15.6× more than average |
| joblib | 89.7% of imbalanced-learn projects · 126.5× more than average |
| pandas | 89.7% of imbalanced-learn projects · 20.8× more than average |
| Jinja2 | 85.1% of imbalanced-learn projects · 39.1× more than average |
| Click | 83.9% of imbalanced-learn projects · 33.6× more than average |
From all 87 projects in our scan that use imbalanced-learn, including the dependency samples.
Install
| Package | pip install imbalanced-learn |
|---|---|
| Main stacks | Python (87) |
| Example projects | BlackArbsCEO/Adv_Fin_ML_Exercises, THUDM/DataSciBench, moizsaifee/kaggle-jigsaw-multilingual-toxic-comment-classification-3rd-place-solution, tomerwolgithub/question-decomposition-to-sql, m-abbas-ansari/SuperResolution-DEMs |
Alternatives to imbalanced-learn
In our scan, none of the most used tools in ML and data science does the same job as imbalanced-learn: they are add-ons, companions or tools for a different task.
More in ML and data science: NumPy pandas scikit-learn SciPy PyTorch Sentence Transformers Hugging Face Transformers NetworkX