https://github.com/tensorflow/datasets
data dataset datasets jax machine-learning numpy tensorflow
Score: 31.442624062662638
Last synced: about 23 hours ago
JSON representation
Repository metadata:
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
- Host: GitHub
- URL: https://github.com/tensorflow/datasets
- Owner: tensorflow
- License: apache-2.0
- Created: 2018-09-10T21:27:22.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2026-10-28T09:42:23.000Z (5 days ago)
- Last Synced: 2026-10-28T13:34:50.761Z (5 days ago)
- Topics: data, dataset, datasets, jax, machine-learning, numpy, tensorflow
- Language: Python
- Homepage: https://www.tensorflow.org/datasets
- Size: 953 MB
- Stars: 4,607
- Watchers: 102
- Forks: 1,593
- Open Issues: 694
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Authors: AUTHORS
Owner metadata:
- Name: tensorflow
- Login: tensorflow
- Email: github-admin@tensorflow.org
- Kind: organization
- Description:
- Website: http://www.tensorflow.org
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/15658638?v=4
- Repositories: 107
- Last Synced at: 2026-11-01T07:34:53.351Z
- Profile URL: https://github.com/tensorflow
Committers metadata
Last synced: 2 days ago
Total Commits: 6,277
Total Committers: 324
Avg Commits per committer: 19.373
Development Distribution Score (DDS): 0.754
Commits in past year: 58
Committers in past year: 11
Avg Commits per committer in past year: 5.273
Development Distribution Score (DDS) in past year: 0.586
| Name | Commits | |
|---|---|---|
| The TensorFlow Datasets Authors | n****y@g****m | 1542 |
| Etienne Pot | e****t@g****m | 974 |
| Tom van der Weide | w****e@g****m | 417 |
| Pierre Ruyssen | p****t@g****m | 404 |
| Ryan Sepassi | r****i@g****m | 250 |
| Tim Semenov | t****v@g****m | 172 |
| vijayphoenix | c****0@i****n | 170 |
| Pierre Marcenac | p****c@g****m | 151 |
| Chanchal Kumar Maji | 3****i | 127 |
| Soumyadeep Jana | s****6@g****m | 124 |
| Adam Roberts | a****b@g****m | 105 |
| NikhilBartwal | n****4@g****m | 88 |
| Eshan Agarwal | e****2@g****m | 80 |
| Harsh Soni | d****0@y****m | 74 |
| Marcin Michalski | m****i@g****m | 73 |
| Sabela Ramos | s****a@g****m | 71 |
| us | r****n@g****m | 59 |
| captain-pool | r****8@g****m | 56 |
| Afroz Mohiuddin | a****m@g****m | 44 |
| Sharan Ramjee | s****e@g****m | 39 |
| William Zhang | W****g@g****m | 35 |
| Alfonso Castaño | a****o@g****m | 34 |
| Joan Puigcerver | j****r@g****m | 33 |
| Yao Zhao | y****z@g****m | 31 |
| Charles | c****7@g****m | 25 |
| zweichen | z****n@g****m | 25 |
| Ann Yuan | a****n@g****m | 24 |
| Rebecca Chen | r****n@g****m | 23 |
| iswariyam | i****7@g****m | 22 |
| Emil Njor | e****r@g****m | 21 |
| and 294 more... | ||
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 2,347
Total pull requests: 1,604
Average time to close issues: 2 months
Average time to close pull requests: about 2 months
Total issue authors: 555
Total pull request authors: 158
Average comments per issue: 0.49
Average comments per pull request: 0.39
Merged pull request: 557
Bot issues: 5
Bot pull requests: 1,338
Past year issues: 5
Past year pull requests: 49
Past year average time to close issues: N/A
Past year average time to close pull requests: 4 days
Past year issue authors: 5
Past year pull request authors: 12
Past year average comments per issue: 0.6
Past year average comments per pull request: 0.39
Past year merged pull request: 27
Past year bot issues: 0
Past year bot pull requests: 38
Top Issue Authors
- angianjaya (114)
- ronnyi1 (100)
- ghost (94)
- salimrezainfo (91)
- aljadas834 (81)
- whitisin (64)
- lolo-bru (62)
- let4lidh (59)
- wwrrcira (50)
- okvirna38 (48)
- tha20dollaman57 (42)
- Ellie-Lindrum (39)
- sprengdit9 (37)
- blackberryDevBBID (33)
- aunakul (32)
Top Pull Request Authors
- copybara-service[bot] (1,337)
- ronnyi1 (21)
- salimrezainfo (12)
- SanjaySG (7)
- lolo-bru (6)
- WFLSCoin (5)
- madisonbaley (4)
- jackd (4)
- lgeiger (4)
- shanky-kapoor (4)
- letonali25 (4)
- hosseinayaan (3)
- angianjaya (3)
- leunicole86 (3)
- rumthunm (3)
Top Issue Labels
- bug (1,578)
- dataset request (341)
- help (49)
- enhancement (41)
- documentation (13)
- contributions welcome (9)
- copybara-import (1)
Top Pull Request Labels
- bug (106)
- copybara-import (52)
- dataset request (29)
- cla: yes (13)
- community:please_review (5)
- documentation (2)
- author:please_respond (1)
- community:is_reviewing (1)
- kokoro:run (1)
- dependencies (1)
- tfds:please_review (1)
- tfds:ready_to_merge (1)
- cla: no (1)
- tfds:is_reviewing (1)
- help (1)
Package metadata
- Total packages: 9
-
Total downloads:
- pypi: 832,134 last-month
- conda: 17,665 total
- Total docker downloads: 25,475,866
- Total dependent packages: 129 (may contain duplicates)
- Total dependent repositories: 4,271 (may contain duplicates)
- Total versions: 2,719
- Total maintainers: 12
pypi.org: tensorflow-datasets
tensorflow/datasets is a library of datasets ready to use with TensorFlow.
- Homepage: https://github.com/tensorflow/datasets
- Documentation: https://tensorflow-datasets.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 4.9.10 (published 6 months ago)
- Last Synced: 2026-11-01T13:11:11.095Z (1 day ago)
- Versions: 39
- Dependent Packages: 116
- Dependent Repositories: 3,946
- Downloads: 760,402 Last month
- Docker Downloads: 25,474,801
-
Rankings:
- Dependent repos count: 0.161%
- Dependent packages count: 0.172%
- Downloads: 0.26%
- Average: 0.621%
- Docker downloads count: 0.885%
- Forks count: 1.112%
- Stargazers count: 1.133%
- Maintainers (9)
pypi.org: tfds-nightly
tensorflow/datasets is a library of datasets ready to use with TensorFlow.
- Homepage: https://github.com/tensorflow/datasets
- Documentation: https://tfds-nightly.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 4.9.9.dev202510250044 (published about 1 year ago)
- Last Synced: 2026-10-31T16:06:06.654Z (2 days ago)
- Versions: 2,534
- Dependent Packages: 13
- Dependent Repositories: 296
- Downloads: 71,469 Last month
- Docker Downloads: 1,065
-
Rankings:
- Downloads: 0.309%
- Dependent packages count: 0.837%
- Dependent repos count: 0.848%
- Average: 0.959%
- Forks count: 1.102%
- Stargazers count: 1.117%
- Docker downloads count: 1.539%
- Maintainers (8)
proxy.golang.org: github.com/Tensorflow/datasets
- Homepage:
- Documentation: https://pkg.go.dev/github.com/Tensorflow/datasets#section-documentation
- Licenses: apache-2.0
- Latest release: v4.9.10+incompatible (published 6 months ago)
- Last Synced: 2026-10-31T16:06:02.168Z (2 days ago)
- Versions: 39
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 4.564%
- Average: 4.718%
- Dependent repos count: 4.871%
proxy.golang.org: github.com/tensorflow/datasets
- Homepage:
- Documentation: https://pkg.go.dev/github.com/tensorflow/datasets#section-documentation
- Licenses: apache-2.0
- Latest release: v4.9.10+incompatible (published 6 months ago)
- Last Synced: 2026-10-31T16:06:08.947Z (2 days ago)
- Versions: 39
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 6.999%
- Average: 8.173%
- Dependent repos count: 9.346%
pypi.org: graphite-datasets
tensorflow/datasets is a library of datasets ready to use with TensorFlow.
- Homepage: https://github.com/tensorflow/datasets
- Documentation: https://graphite-datasets.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 1.0.59 (published over 2 years ago)
- Last Synced: 2026-10-31T16:05:56.390Z (2 days ago)
- Versions: 60
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 240 Last month
-
Rankings:
- Forks count: 1.099%
- Stargazers count: 1.114%
- Dependent packages count: 6.633%
- Average: 12.364%
- Downloads: 22.36%
- Dependent repos count: 30.611%
- Maintainers (1)
spack.io: py-tensorflow-datasets
tensorflow/datasets is a library of datasets ready to use with TensorFlow.
- Homepage: https://github.com/tensorflow/datasets
- Licenses: []
- Latest release: 4.4.0 (published over 4 years ago)
- Last Synced: 2026-10-31T16:06:08.923Z (2 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Forks count: 2.362%
- Stargazers count: 2.626%
- Average: 15.566%
- Dependent packages count: 57.274%
- Maintainers (1)
pypi.org: tf-datasets
tensorflow/datasets
- Homepage: http://github.com/tensorflow/datasets
- Documentation: https://tf-datasets.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 0.0.1 (published about 8 years ago)
- Last Synced: 2026-10-31T16:05:58.364Z (2 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 9 Last month
-
Rankings:
- Forks count: 1.102%
- Stargazers count: 1.117%
- Dependent packages count: 7.373%
- Average: 16.313%
- Dependent repos count: 22.233%
- Downloads: 49.738%
- Maintainers (1)
pypi.org: rstojnic-tfds-nightly
tensorflow/datasets is a library of datasets ready to use with TensorFlow.
- Homepage: https://github.com/tensorflow/datasets
- Documentation: https://rstojnic-tfds-nightly.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 4.6.0.dev202206140947 (published over 4 years ago)
- Last Synced: 2026-10-31T16:05:56.667Z (2 days ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 14 Last month
-
Rankings:
- Forks count: 1.099%
- Stargazers count: 1.11%
- Dependent packages count: 6.633%
- Average: 16.353%
- Dependent repos count: 30.611%
- Downloads: 42.314%
- Maintainers (1)
anaconda.org: tensorflow-datasets
TensorFlow Datasets is a collection of datasets ready to use, with TensorFlow or other Python ML frameworks, such as Jax. All datasets are exposed as tf.data.Datasets , enabling easy-to-use and high-performance input pipelines.
- Homepage: https://www.tensorflow.org/datasets
- Licenses: Apache-2.0
- Latest release: 4.9.10 (published 5 months ago)
- Last Synced: 2026-06-11T11:34:07.957Z (5 months ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 28
- Downloads: 17,665 Total
-
Rankings:
- Forks count: 9.435%
- Stargazers count: 13.184%
- Average: 23.261%
- Dependent repos count: 29.41%
- Dependent packages count: 41.014%
Dependencies
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