Package · PyPI
tensorflow-data-validation
PyPI · v1.21.0 · Apache 2.0
A library for exploring and validating machine learning data.
Install
pip install tensorflow-data-validationAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.57
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 6.3
- 49 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
- v1.21.0
- 49 versions
- First published
- SEP 8, 2018
- Last release
- JUN 11, 2026
- 4mo ago
- Licence
- Apache 2.0
Repository
Not in the Crest catalog
tensorflow/data-validation (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 · v1.21.0
Runtime 12
- absl-py
<2.0.0,>=0.9 - apache-beam
<3,>=2.53 - joblib
>=1.2.0 - numpy
>=1.22.0 - pandas
<3,>=1.0 - protobuf
<7.0.0,>=6.0.0 - pyarrow
>=14 - pyfarmhash
<0.4,>=0.2.2 - six
<2,>=1.12 - tensorflow
<2.22,>=2.21 - tensorflow-metadata
<1.22,>=1.21.0 - tfx-bsl
<1.22,>=1.21.0
Related packages
- tf-nightlyTensorFlow is an open source machine learning framework for everyone.Same primary category
- diffusersState-of-the-art diffusion in PyTorch.Same primary category
- sagemakerOpen source library for training and deploying models on Amazon SageMaker.Same primary category
- sagemaker-trainOpen source library for training and deploying models on Amazon SageMaker.Same primary category
- jaxDifferentiate, compile, and transform Numpy code.Same primary category
- jaxlibXLA library for JAXSame primary category
Related news
No published news event mentions this package or its repository yet.