Package · PyPI

tensorflow-datasets

PyPI · v4.9.10 · Apache 2.0

tensorflow/datasets is a library of datasets ready to use with TensorFlow.

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 tensorflow-datasets

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.50
DerivedRelease cadence and recency, 0 to 1
Releases per year
5.4
39 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
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30 days
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90 days
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1 year
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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
v4.9.10
39 versions
First published
FEB 15, 2019
Last release
MAY 8, 2026
6mo ago
Licence
Apache 2.0

Repository

In the Crest catalog

tensorflow/datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Stars
4.6K
Forks
1.6K
Language
Python
Last push
24d ago
Last release
6mo ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v4.9.10

Runtime 18

  • absl-pyAny version
  • array_record>=0.5.0
  • dm-treeAny version
  • etils>=1.6.0
  • immutabledictAny version
  • importlib_resourcesAny version
  • numpyAny version
  • promiseAny version
  • protobuf>=3.20
  • psutilAny version
  • pyarrowAny version
  • requests>=2.19.0
  • simple_parsingAny version
  • tensorflow-metadataAny version
  • termcolorAny version
  • tomlAny version
  • tqdmAny version
  • wraptAny version

Related news

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