Package · PyPI
geocif
PyPI · v0.4.1090 · MIT
Models to visualize and forecast crop conditions and yields
Install
pip install geocifAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.99
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 349
- 1,268 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
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
- v0.4.1090
- 1,268 versions
- First published
- MAR 9, 2023
- Last release
- OCT 24, 2026
- 12h ago
- Licence
- MIT
Repository
No repository is linked to this package. Its registry lists no source repository.
Dependencies latest version · v0.4.1090
Runtime 60
- BorutaShap
>=1.0 - PyGRF
>=0.0.12 - Rbeast
>=0.1.20 - arfs
>=2.0 - arrow
>=1.4.0 - boruta
>=0.4.3 - bottleneck
>=1.3 - cachetools
>=5.0 - cartopy
>=0.22 - catboost
>=1.2.8 - choix
>=0.3.4 - crepes
>=0.6 - cubist
>=1.0 - esda
>=2.5 - feature-engine
>=1.6 - fionaAny version
- gdal
>=3.8 - geopandas
>=1.1.2 - geoprepare
>=0.6.275 - geopy
>=2.0 - icclim
>=7.0.4 - kneed
>=0.8 - libpysal
>=4.10 - lifelines
>=0.27 - logzero
>=1.7.0 - mapclassify
>=2.5 - mapie
>=0.8 - matplotlib
<3.11 - merf
>=1.0 - mrmr-selection
>=0.2 - ngboost
>=0.5 - numba
>=0.59 - openpyxlAny version
- optunaAny version
- palettable
>=3.3.3 - pandas
<3 - pangres
>=4.0 - pooch
>=1.8.0 - pybass-emu
>=0.9 - pygmt
>=0.14 - pymannkendall
>=1.4 - pyprojAny version
- rasterioAny version
- rtreeAny version
- scienceplots
>=2.0.0 - scikit-image
>=0.21 - scikit-learn
>=1.4 - scikit-misc
>=0.5.2 - seaborn
>=0.13.2 - setuptools
<81 - shap
>=0.48.0 - shapelyAny version
- shapiq
>=1.0 - sklearn-genetic-opt
>=0.10 - stabl
>=0.0.1 - statsmodels
>=0.14.6 - tabicl
>=2.0.2 - tabpfn
>=6.4.1 - tabpfn-extensions
>=0.4 - xarray
>=2026.2.0
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Related news
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