Adoption
- Adoption
- —Not published by PyPI
- Not published
- Popularity
- —Not published by PyPI
- Not published
- Dependents
- —Not published by PyPI
- Not published
- Maintenance
- 0.29
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 19
- 34 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- —Not published by PyPI
- Not published
- 30 days
- —Not published by PyPI
- Not published
- 90 days
- —Not published by PyPI
- Not published
- 1 year
- —Not published by PyPI
- Not published
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v0.6.0.post2
- 34 versions
- First published
- MAY 13, 2022
- Last release
- MAR 1, 2024
- 3y ago
- Licence
- Apache
Repository
In the Crest catalog
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
- Language
- Jupyter Notebook
- Last push
- 19mo ago
- Last release
- 3y ago
Dependencies latest version · v0.6.0.post2
Runtime 26
- dill
>=0.3.6 - ipykernelAny version
- ipython
>=7.12.0 - ipywidgets
>=7.7.0 - joblib
>=1.1.0 - jupyter-client
<=7.4.9 - lime
>=0.2.0.1 - matplotlib
<3.8.0,>=3.1.2 - momentchi2Any version
- natsort
>=8.2.0 - networkx
>=2.6.3 - numba
<0.57.0 - numpy
<1.24.0,>=1.21.4 - optbinning
>=0.17.3 - packaging
>=20.5 - pandas
<2.0.0,>=1.3.5 - psutil
>=5.9.0 - pygam
==0.8.0 - scikit-learn
<1.4.0,>=0.24.2 - scipy
<=1.10.1,>=1.5.3 - seaborn
>=0.11.2 - shap
>=0.39.0 - statsmodels
>=0.12.2 - torch
>=1.11.0 - xgboost
>=1.4.2 - xlrd
>=1.2.0
Related news
No published news event mentions this package or its repository yet.