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An open API service for producing an overview of a list of open source projects.

https://github.com/tensorflow/probability

bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow

Score: 31.82484257932032

Last synced: about 23 hours ago
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Repository metadata:

Probabilistic reasoning and statistical analysis in TensorFlow

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 2 days ago

Total Commits: 10,642
Total Committers: 488
Avg Commits per committer: 21.807
Development Distribution Score (DDS): 0.872

Commits in past year: 37
Committers in past year: 16
Avg Commits per committer in past year: 2.313
Development Distribution Score (DDS) in past year: 0.703

Name Email Commits
Matthew Johnson m****j@g****m 1357
Peter Hawkins p****s@g****m 1035
Brian Patton b****p@g****m 611
siege s****e@g****m 464
Dave Moore d****e@g****m 461
Googler n****y@g****m 449
Srinivas Vasudevan s****e@g****m 395
Alexey Radul a****h@g****m 377
Joshua V. Dillon j****n@g****m 303
jburnim j****m@g****m 299
Christopher Suter c****s@g****m 286
George Necula g****a@g****m 274
Roy Frostig f****g@g****m 261
emilyaf e****f@g****m 250
sharadmv s****v@g****m 223
Skye Wanderman-Milne s****m@g****m 220
Jake Vanderplas j****p@g****m 219
Stephan Hoyer s****r@g****m 123
colcarroll c****l@g****m 120
GianluigiSilvestri g****i@g****m 107
rupei r****i@g****m 100
fehiepsi f****i@g****m 84
Ian Langmore l****e@g****m 76
jeffpollock9 j****9@g****m 73
James Bradbury j****y@g****m 71
Leandro Campos 1****s 66
Rif A. Saurous r****f@g****m 64
Junpeng Lao j****o@g****m 61
Dustin Tran t****n@g****m 61
Jamie Townsend j****d@g****m 57
and 458 more...

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 343
Total pull requests: 92
Average time to close issues: 2 months
Average time to close pull requests: 7 months
Total issue authors: 198
Total pull request authors: 47
Average comments per issue: 2.24
Average comments per pull request: 2.07
Merged pull request: 27
Bot issues: 0
Bot pull requests: 1

Past year issues: 5
Past year pull requests: 9
Past year average time to close issues: 9 days
Past year average time to close pull requests: about 1 month
Past year issue authors: 4
Past year pull request authors: 8
Past year average comments per issue: 0.4
Past year average comments per pull request: 0.89
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/tensorflow/probability

Top Issue Authors

  • ghost (60)
  • astmaticpj (10)
  • mondien (7)
  • Joshuaalbert (7)
  • jonas-eschle (6)
  • jeffpollock9 (5)
  • reubenharry (5)
  • i418c (5)
  • Rockdeldiablo (4)
  • camelmartis (4)
  • aapalisff (4)
  • Qiustander (4)
  • fietsjeej (4)
  • matthewfeickert (4)
  • NeilGirdhar (3)

Top Pull Request Authors

  • aleslamitz (10)
  • jonas-eschle (7)
  • ghost (7)
  • chrism0dwk (5)
  • synandi (4)
  • matthewfeickert (4)
  • gmjw (4)
  • reubenharry (2)
  • tilakrayal (2)
  • PavanKishore21 (2)
  • Frightera (2)
  • sophiagu (2)
  • tiruk007 (2)
  • leandrolcampos (2)
  • hasan-malik (2)

Top Issue Labels

  • good first issue (11)
  • enhancement (6)
  • layers (2)
  • tensorflow 2.0 (2)
  • keras (1)
  • distributions/bijectors (1)

Top Pull Request Labels

  • cla: yes (7)
  • dependencies (1)
  • cla: no (1)

Package metadata

pypi.org: tensorflow-probability

Probabilistic modeling and statistical inference in TensorFlow

  • Homepage: http://github.com/tensorflow/probability
  • Documentation: https://tensorflow-probability.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.25.0 (published almost 2 years ago)
  • Last Synced: 2026-10-31T15:31:38.943Z (2 days ago)
  • Versions: 53
  • Dependent Packages: 207
  • Dependent Repositories: 3,455
  • Downloads: 852,476 Last month
  • Docker Downloads: 24,852,284
  • Rankings:
    • Dependent packages count: 0.11%
    • Dependent repos count: 0.177%
    • Downloads: 0.28%
    • Average: 0.605%
    • Docker downloads count: 0.671%
    • Stargazers count: 1.138%
    • Forks count: 1.254%
  • Maintainers (2)
nixpkgs-unstable: python313Packages.inference-gym

Place to exercise inference methods to help make them faster, leaner and more robust

pypi.org: tfp-nightly

Probabilistic modeling and statistical inference in TensorFlow

  • Homepage: http://github.com/tensorflow/probability
  • Documentation: https://tfp-nightly.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.26.0.dev20261101 (published 1 day ago)
  • Last Synced: 2026-11-01T08:15:23.269Z (1 day ago)
  • Versions: 3,031
  • Dependent Packages: 9
  • Dependent Repositories: 349
  • Downloads: 313,824 Last month
  • Docker Downloads: 30
  • Rankings:
    • Dependent repos count: 0.789%
    • Dependent packages count: 0.937%
    • Stargazers count: 1.123%
    • Forks count: 1.237%
    • Average: 1.26%
    • Downloads: 2.214%
  • Maintainers (3)
conda-forge.org: tensorflow-probability

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.

  • Homepage: https://pypi.org/project/tensorflow-probability/
  • Licenses: Apache-2.0
  • Latest release: 0.18.0 (published almost 4 years ago)
  • Last Synced: 2026-04-01T16:16:53.541Z (7 months ago)
  • Versions: 13
  • Dependent Packages: 6
  • Dependent Repositories: 35
  • Downloads: 215,909 Total
  • Rankings:
    • Forks count: 4.611%
    • Stargazers count: 5.829%
    • Dependent repos count: 6.173%
    • Average: 6.411%
    • Dependent packages count: 9.032%
pypi.org: inference-gym

The Inference Gym is the place to exercise inference methods to help make them faster, leaner and more robust.

  • Homepage: https://github.com/tensorflow/probability/tree/main/spinoffs/inference_gym
  • Documentation: https://inference-gym.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.0.5 (published almost 2 years ago)
  • Last Synced: 2026-10-31T15:31:44.003Z (2 days ago)
  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 115
  • Downloads: 118 Last month
  • Rankings:
    • Stargazers count: 1.132%
    • Forks count: 1.254%
    • Dependent repos count: 1.395%
    • Average: 8.088%
    • Dependent packages count: 10.038%
    • Downloads: 26.623%
  • Maintainers (3)
proxy.golang.org: github.com/tensorflow/probability

anaconda.org: tensorflow-probability

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.

  • Homepage: https://www.tensorflow.org/probability
  • Licenses: Apache-2.0
  • Latest release: 0.25.0 (published 4 months ago)
  • Last Synced: 2026-07-20T07:35:40.420Z (4 months ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 35
  • Downloads: 4,504 Total
  • Rankings:
    • Forks count: 10.741%
    • Stargazers count: 12.95%
    • Average: 25.59%
    • Dependent repos count: 27.474%
    • Dependent packages count: 51.195%
pypi.org: tfprob

tfprob

  • Homepage: http://github.com/tensorflow/probability/
  • Documentation: https://tfprob.readthedocs.io/
  • Licenses: apache-2.0
  • Latest release: 0.0.1 (published almost 2 years ago)
  • Last Synced: 2026-10-31T15:31:45.040Z (2 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 7 Last month
  • Rankings:
    • Dependent packages count: 10.044%
    • Dependent repos count: 21.651%
    • Average: 29.213%
    • Downloads: 55.943%
  • Maintainers (1)
pypi.org: meridian-tfp-frozen

Probabilistic modeling and statistical inference in TensorFlow

  • Homepage: http://github.com/tensorflow/probability
  • Documentation: https://meridian-tfp-frozen.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.26.0.1 (published 9 months ago)
  • Last Synced: 2026-10-31T15:31:43.217Z (2 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 10 Last month
  • Rankings:
    • Dependent packages count: 7.821%
    • Average: 33.901%
    • Dependent repos count: 44.222%
    • Downloads: 49.659%
  • Maintainers (1)
pypi.org: autobnn

Package for training Gaussian process-like Bayesian Neural Networks with composite structure.

  • Homepage: https://github.com/tensorflow/probability/tree/main/spinoffs/autobnn
  • Documentation: https://autobnn.readthedocs.io/
  • Licenses: Apache 2.0
  • Latest release: 0.0.2.dev0 (published over 2 years ago)
  • Last Synced: 2026-10-31T15:31:40.904Z (2 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 42 Last month
  • Rankings:
    • Dependent packages count: 9.638%
    • Average: 36.613%
    • Dependent repos count: 63.589%
  • Maintainers (1)
nixpkgs-24.11: python311Packages.inference-gym

Place to exercise inference methods to help make them faster, leaner and more robust

nixpkgs-unstable: python314Packages.inference-gym

Place to exercise inference methods to help make them faster, leaner and more robust

nixpkgs-24.11: python312Packages.inference-gym

Place to exercise inference methods to help make them faster, leaner and more robust

Dependencies

.github/workflows/continuous-integration.yml actions
  • actions/checkout v1 composite
  • actions/setup-python v2 composite
  • actions/upload-artifact v1 composite
setup.py pypi
discussion/probabilistic_bundle_adjustment/requirements.txt pypi
  • ipywidgets ==8.1
  • jax >=0.4.31
  • jaxlib >=0.4.31
  • matplotlib ==3.9
  • mediapy ==1.2
  • plotly ==5.23
  • pythreejs ==2.4
  • tfp-nightly ==0.25.0.dev20240829
  • tqdm ==4.66
spinoffs/autobnn/setup.py pypi
  • bayeux-ml *
  • chex *
  • flax *
  • jax *
  • jaxtyping *
  • matplotlib *
  • numpy *
  • pandas *
  • scipy *
  • tensorflow-probability *
spinoffs/fun_mc/pyproject.toml pypi
  • immutabledict *
  • jaxtyping *
  • numpy >=1.13.3
  • typeguard *
spinoffs/inference_gym/setup.py pypi