Package · PyPI
tdda
PyPI · v3.3.0 · MIT
Test-driven data analysis: command-line tools and Python APIs for data validation, testing analytical pipelines, automatic test generation and more.
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 tddaAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.67
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 8.3
- 79 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
- v3.3.0
- 79 versions
- First published
- JAN 18, 2017
- Last release
- JUL 13, 2026
- 3mo ago
- Licence
- MIT
Repository
Not in the Crest catalog
tdda/tdda (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 · v3.3.0
Runtime 12
- chardet
>=5.2 - numpy
>=1.23.5 - pandas
>=2.0 - polars
>=1.30.0 - pyarrow
>=15.0 - pytestAny version
- pyyaml
>=6.0 - regexAny version
- requests
>=2.28 - rich
>=13.3 - tomli
>=2.0 - tomli_w
>=1.2.0
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Related news
No published news event mentions this package or its repository yet.