Package · PyPI
datacompy
PyPI · v1.1.0 · Apache Software License
Dataframe comparisons in Python
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
pip install datacompyAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.87
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 8.2
- 70 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
- v1.1.0
- 70 versions
- First published
- MAR 28, 2018
- Last release
- SEP 30, 2026
- 24d ago
- Licence
- Apache Software License
Repository
Not in the Crest catalog
capitalone/datacompy (GitHub, opens in a new tab)
The catalog tracks GitHub repositories with more than 500 stars; this one has no Crest page, so its figures are not shown here.
Dependencies latest version · v1.1.0
Runtime 5
- jinja2
>=3 - numpy
<2.6,>=1.26.4 - ordered-set
<=4.1,>=4.0.2 - pandas
<3.1,>=2.2 - polars
<1.45,>=0.20.4
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Related news
No published news event mentions this package or its repository yet.