Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.
Package Information
No reported malware or high/critical advisories · Details
The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.
Package Insights
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100More insights and metrics
Downloads by OS
Python Versions
Top Countries
Weekly Downloads
GitHub Stars
Dependencies
- camina >=0.2.1
- chrisjen >=0.2.0
- nagata >=0.2.0
- numpy >=1.26
- pandas >=3.0
- scikit-learn >=1.5
- scipy >=1.10
58 optional dependencies
-
catboost>=1.2[boosting]extra == "boosting"
-
catboost>=1.2[all]extra == "all"
-
category-encoders>=2.6[encoders]extra == "encoders"
-
category-encoders>=2.6[all]extra == "all"
-
causalml>=0.17[causal]python_version < "3.13" and extra == "causal"
-
causalml>=0.17[all]python_version < "3.13" and extra == "all"
-
doubleml>=0.11[all]extra == "all"
-
doubleml>=0.11[causal]extra == "causal"
-
dowhy>=0.14[all]python_version >= "3.13" and extra == "all"
-
dowhy>=0.14[causal]python_version >= "3.13" and extra == "causal"
-
eli5>=0.16[explain]extra == "explain"
-
eli5>=0.16[all]extra == "all"
-
fairlearn>=0.12[all]extra == "all"
-
fairlearn>=0.12[fairness]extra == "fairness"
-
great-tables>=0.15[tables]extra == "tables"
-
great-tables>=0.15[all]extra == "all"
-
imbalanced-learn>=0.12[sampling]extra == "sampling"
-
imbalanced-learn>=0.12[all]extra == "all"
-
interpret-core>=0.6[all]extra == "all"
-
interpret-core>=0.6[explain]extra == "explain"
-
lightgbm>=4.0[all]extra == "all"
-
lightgbm>=4.0[boosting]extra == "boosting"
-
mapie>=1.0[uncertainty]extra == "uncertainty"
-
mapie>=1.0[all]extra == "all"
-
matplotlib>=3.8[plots]extra == "plots"
-
matplotlib>=3.8[all]extra == "all"
-
networkx>=3.0[all]extra == "all"
-
networkx>=3.0[causal]extra == "causal"
-
optuna>=4.0[all]extra == "all"
-
optuna>=4.0[tuning]extra == "tuning"
-
optuna-integration>=4.0[all]extra == "all"
-
optuna-integration>=4.0[tuning]extra == "tuning"
-
polars>=1.0[all]extra == "all"
-
polars>=1.0[polars]extra == "polars"
-
pyarrow>=15[all]extra == "all"
-
pyarrow>=15[polars]extra == "polars"
-
pyfixest>=0.30[all]extra == "all"
-
pyfixest>=0.30[statistics]extra == "statistics"
-
python-docx>=1.1[word]extra == "word"
-
python-docx>=1.1[all]extra == "all"
-
rdrobust>=2.1[all]extra == "all"
-
rdrobust>=2.1[causal]extra == "causal"
-
scienceplots>=2.1[all]extra == "all"
-
scienceplots>=2.1[plots]extra == "plots"
-
seaborn>=0.13[all]extra == "all"
-
seaborn>=0.13[plots]extra == "plots"
-
shap>=0.45[all]extra == "all"
-
shap>=0.45[explain]extra == "explain"
-
skrub>=0.5[all]extra == "all"
-
skrub>=0.5[encoders]extra == "encoders"
-
statsmodels>=0.14[all]extra == "all"
-
statsmodels>=0.14[statistics]extra == "statistics"
-
statsmodels>=0.14[survival]extra == "survival"
-
tabpfn>=2.0[tabpfn]extra == "tabpfn"
-
tigramite>=5.2[all]extra == "all"
-
tigramite>=5.2[causal]extra == "causal"
-
xgboost>=2.0[all]extra == "all"
-
xgboost>=2.0[boosting]extra == "boosting"
Used By
- courtpy 881/mo