ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

https://github.com/ray-project/ray

Science Score: 46.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
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DOI references
✓
Academic publication links
Links to: arxiv.org
✓
Committers with academic emails
66 of 1151 committers (5.7%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (10.9%) to scientific vocabulary

Keywords

data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search large-language-models llm llm-inference llm-serving machine-learning optimization parallel python pytorch ray reinforcement-learning rllib serving tensorflow

Keywords from Contributors

transformer tensor jax autograd agents langchain cryptocurrency audio gym mlops

Last synced: 6 months ago · JSON representation

Repository

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Basic Info

Host: GitHub
Owner: ray-project
License: apache-2.0
Language: Python
Default Branch: master
Homepage: https://ray.io
Size: 561 MB

Statistics

Stars: 38,771
Watchers: 490
Forks: 6,759
Open Issues: 3,031
Releases: 112

Topics

Created over 9 years ago · Last pushed 6 months ago

Metadata Files

Readme Contributing License Codeowners Security

README.rst

.. image:: https://github.com/ray-project/ray/raw/master/doc/source/images/ray_header_logo.png

.. image:: https://readthedocs.org/projects/ray/badge/?version=master
    :target: http://docs.ray.io/en/master/?badge=master

.. image:: https://img.shields.io/badge/Ray-Join%20Slack-blue
    :target: https://www.ray.io/join-slack

.. image:: https://img.shields.io/badge/Discuss-Ask%20Questions-blue
    :target: https://discuss.ray.io/

.. image:: https://img.shields.io/twitter/follow/raydistributed.svg?style=social&logo=twitter
    :target: https://x.com/raydistributed

.. image:: https://img.shields.io/badge/Get_started_for_free-3C8AE9?logo=data%3Aimage%2Fpng%3Bbase64%2CiVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8%2F9hAAAAAXNSR0IArs4c6QAAAERlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAAEKADAAQAAAABAAAAEAAAAAA0VXHyAAABKElEQVQ4Ea2TvWoCQRRGnWCVWChIIlikC9hpJdikSbGgaONbpAoY8gKBdAGfwkfwKQypLQ1sEGyMYhN1Pd%2B6A8PqwBZeOHt%2FvsvMnd3ZXBRFPQjBZ9K6OY8ZxF%2B0IYw9PW3qz8aY6lk92bZ%2BVqSI3oC9T7%2FyCVnrF1ngj93us%2B540sf5BrCDfw9b6jJ5lx%2FyjtGKBBXc3cnqx0INN4ImbI%2Bl%2BPnI8zWfFEr4chLLrWHCp9OO9j19Kbc91HX0zzzBO8EbLK2Iv4ZvNO3is3h6jb%2BCwO0iL8AaWqB7ILPTxq3kDypqvBuYuwswqo6wgYJbT8XxBPZ8KS1TepkFdC79TAHHce%2F7LbVioi3wEfTpmeKtPRGEeoldSP%2FOeoEftpP4BRbgXrYZefsAI%2BP9JU7ImyEAAAAASUVORK5CYII%3D
   :target: https://www.anyscale.com/ray-on-anyscale?utm_source=github&utm_medium=ray_readme&utm_campaign=get_started_badge

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI libraries for simplifying ML compute:

.. image:: https://github.com/ray-project/ray/raw/master/doc/source/images/what-is-ray-padded.svg

..
  https://docs.google.com/drawings/d/1Pl8aCYOsZCo61cmp57c7Sja6HhIygGCvSZLi_AuBuqo/edit

Learn more about `Ray AI Libraries`_:

- `Data`_: Scalable Datasets for ML
- `Train`_: Distributed Training
- `Tune`_: Scalable Hyperparameter Tuning
- `RLlib`_: Scalable Reinforcement Learning
- `Serve`_: Scalable and Programmable Serving

Or more about `Ray Core`_ and its key abstractions:

- `Tasks`_: Stateless functions executed in the cluster.
- `Actors`_: Stateful worker processes created in the cluster.
- `Objects`_: Immutable values accessible across the cluster.

Learn more about Monitoring and Debugging:

- Monitor Ray apps and clusters with the `Ray Dashboard `__.
- Debug Ray apps with the `Ray Distributed Debugger `__.

Ray runs on any machine, cluster, cloud provider, and Kubernetes, and features a growing
`ecosystem of community integrations`_.

Install Ray with: ``pip install ray``. For nightly wheels, see the
`Installation page `__.

.. _`Serve`: https://docs.ray.io/en/latest/serve/index.html
.. _`Data`: https://docs.ray.io/en/latest/data/dataset.html
.. _`Workflow`: https://docs.ray.io/en/latest/workflows/
.. _`Train`: https://docs.ray.io/en/latest/train/train.html
.. _`Tune`: https://docs.ray.io/en/latest/tune/index.html
.. _`RLlib`: https://docs.ray.io/en/latest/rllib/index.html
.. _`ecosystem of community integrations`: https://docs.ray.io/en/latest/ray-overview/ray-libraries.html


Why Ray?
--------

Today's ML workloads are increasingly compute-intensive. As convenient as they are, single-node development environments such as your laptop cannot scale to meet these demands.

Ray is a unified way to scale Python and AI applications from a laptop to a cluster.

With Ray, you can seamlessly scale the same code from a laptop to a cluster. Ray is designed to be general-purpose, meaning that it can performantly run any kind of workload. If your application is written in Python, you can scale it with Ray, no other infrastructure required.

More Information
----------------

- `Documentation`_
- `Ray Architecture whitepaper`_
- `Exoshuffle: large-scale data shuffle in Ray`_
- `Ownership: a distributed futures system for fine-grained tasks`_
- `RLlib paper`_
- `Tune paper`_

*Older documents:*

- `Ray paper`_
- `Ray HotOS paper`_
- `Ray Architecture v1 whitepaper`_

.. _`Ray AI Libraries`: https://docs.ray.io/en/latest/ray-air/getting-started.html
.. _`Ray Core`: https://docs.ray.io/en/latest/ray-core/walkthrough.html
.. _`Tasks`: https://docs.ray.io/en/latest/ray-core/tasks.html
.. _`Actors`: https://docs.ray.io/en/latest/ray-core/actors.html
.. _`Objects`: https://docs.ray.io/en/latest/ray-core/objects.html
.. _`Documentation`: http://docs.ray.io/en/latest/index.html
.. _`Ray Architecture v1 whitepaper`: https://docs.google.com/document/d/1lAy0Owi-vPz2jEqBSaHNQcy2IBSDEHyXNOQZlGuj93c/preview
.. _`Ray Architecture whitepaper`: https://docs.google.com/document/d/1tBw9A4j62ruI5omIJbMxly-la5w4q_TjyJgJL_jN2fI/preview
.. _`Exoshuffle: large-scale data shuffle in Ray`: https://arxiv.org/abs/2203.05072
.. _`Ownership: a distributed futures system for fine-grained tasks`: https://www.usenix.org/system/files/nsdi21-wang.pdf
.. _`Ray paper`: https://arxiv.org/abs/1712.05889
.. _`Ray HotOS paper`: https://arxiv.org/abs/1703.03924
.. _`RLlib paper`: https://arxiv.org/abs/1712.09381
.. _`Tune paper`: https://arxiv.org/abs/1807.05118

Getting Involved
----------------

.. list-table::
   :widths: 25 50 25 25
   :header-rows: 1

   * - Platform
     - Purpose
     - Estimated Response Time
     - Support Level
   * - `Discourse Forum`_
     - For discussions about development and questions about usage.
     - < 1 day
     - Community
   * - `GitHub Issues`_
     - For reporting bugs and filing feature requests.
     - < 2 days
     - Ray OSS Team
   * - `Slack`_
     - For collaborating with other Ray users.
     - < 2 days
     - Community
   * - `StackOverflow`_
     - For asking questions about how to use Ray.
     - 3-5 days
     - Community
   * - `Meetup Group`_
     - For learning about Ray projects and best practices.
     - Monthly
     - Ray DevRel
   * - `Twitter`_
     - For staying up-to-date on new features.
     - Daily
     - Ray DevRel

.. _`Discourse Forum`: https://discuss.ray.io/
.. _`GitHub Issues`: https://github.com/ray-project/ray/issues
.. _`StackOverflow`: https://stackoverflow.com/questions/tagged/ray
.. _`Meetup Group`: https://www.meetup.com/Bay-Area-Ray-Meetup/
.. _`Twitter`: https://x.com/raydistributed
.. _`Slack`: https://www.ray.io/join-slack?utm_source=github&utm_medium=ray_readme&utm_campaign=getting_involved

Owner

Name: ray-project
Login: ray-project
Kind: organization

Website: https://ray.readthedocs.io/en/master/
Repositories: 105
Profile: https://github.com/ray-project

Committers

Last synced: 10 months ago

All Time

Total Commits: 24,954
Total Committers: 1,151
Avg Commits per committer: 21.68
Development Distribution Score (DDS): 0.947

Past Year

Commits: 3,544
Committers: 266
Avg Commits per committer: 13.323
Development Distribution Score (DDS): 0.913

Top Committers

Name	Email	Commits
Eric Liang	e**g@g**m	1,334
Sven Mika	s**7@g**m	1,143
Edward Oakes	e**s@g**m	908
Kai Fricke	k****e	865
Robert Nishihara	r**a@g**m	841
SangBin Cho	r**7@g**m	814
Cuong Nguyen	1****e	771
Balaji Veeramani	b**i@a**m	609
Philipp Moritz	p**z@g**m	607
Richard Liaw	r**w@b**u	589
Jiajun Yao	j**j@g**m	538
Simon Mo	s**o@h**m	509
Lonnie Liu	9****e	501
Stephanie Wang	s**g@c**u	463
Amog Kamsetty	a****m	450
Yi Cheng	7****g	422
Archit Kulkarni	a****i	422
Ian Rodney	i**y@g**m	307
Justin Yu	j**u@a**m	306
Ricky Xu	x**7@h**m	304
Cindy Zhang	c**9@g**m	296
Antoni Baum	a**m@p**m	289
Chen Shen	s**9@g**m	287
dentiny	d**o@g**m	287
Hao Chen	c**4@g**m	265
Artur Niederfahrenhorst	a**r@a**m	257
Clark Zinzow	c**w@g**m	256
mehrdadn	m****n	238
matthewdeng	m**t@a**m	230
shrekris-anyscale	9****e	229
and 1,121 more...

Committer Domains (Top 20 + Academic)

anyscale.com: 39 qq.com: 22 berkeley.edu: 21 163.com: 13 intel.com: 8 antfin.com: 7 google.com: 5 126.com: 5 posteo.net: 3 apache.org: 3 eecs.berkeley.edu: 3 vmware.com: 3 mit.edu: 3 foxmail.com: 2 gatech.edu: 2 linkedin.com: 2 me.com: 2 hitachi.com: 2 mails.tsinghua.edu.cn: 2 huawei.com: 2 cs.berkeley.edu: 2 virginia.edu: 1 alumni.ncsu.edu: 1 mail.ustc.edu.cn: 1 hhu.edu.cn: 1 cs.washington.edu: 1 ie.cuhk.edu.hk: 1 nsec.ac.in: 1 robots.ox.ac.uk: 1 cornell.edu: 1 zju.edu.cn: 1 tum.de: 1 cam.ac.uk: 1 pku.edu.cn: 1 college.harvard.edu: 1 ischool.berkeley.edu: 1 bu.edu: 1 utexas.edu: 1 inf.ethz.ch: 1 stonybrook.edu: 1 gmu.edu: 1 alumni.rice.edu: 1 fci.helwan.edu.eg: 1 sjtu.edu.cn: 1 columbia.edu: 1 illinois.edu: 1 qmul.ac.uk: 1 tudelft.nl: 1 uwaterloo.ca: 1 stanford.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 7,306
Total pull requests: 15,685
Average time to close issues: 11 months
Average time to close pull requests: 22 days
Total issue authors: 2,064
Total pull request authors: 775
Average comments per issue: 2.89
Average comments per pull request: 1.07
Merged pull requests: 8,215
Bot issues: 0
Bot pull requests: 384

Past Year

Issues: 2,420
Pull requests: 7,641
Average time to close issues: 12 days
Average time to close pull requests: 7 days
Issue authors: 691
Pull request authors: 434
Average comments per issue: 2.02
Average comments per pull request: 0.9
Merged pull requests: 3,843
Bot issues: 0
Bot pull requests: 84

View more stats

Top Authors

Issue Authors

can-anyscale (1,831)
rkooo567 (147)
stephanie-wang (140)
bveeramani (110)
edoakes (102)
kevin85421 (84)
richardliaw (73)
rickyyx (73)
jjyao (70)
scottsun94 (68)
GeneDer (65)
angelinalg (62)
architkulkarni (58)
justinvyu (53)
MortalHappiness (51)

Pull Request Authors

can-anyscale (1,153)
aslonnie (936)
dentiny (759)
sven1977 (643)
bveeramani (585)
edoakes (566)
rynewang (403)
kevin85421 (402)
zcin (394)
dependabot[bot] (384)
dayshah (382)
jjyao (371)
khluu (324)
simonsays1980 (289)
justinvyu (284)

Top Labels

Issue Labels

bug (4,633) triage (3,340) core (1,882) ray-test-bot (1,619) stability (1,536) enhancement (1,462) weekly-release-blocker (1,372) flaky-tracker (1,193) ci-test (1,096) P1 (1,090) P0 (1,079) P2 (1,065) pending-cleanup (784) data (731) serve (726) release-test (703) rllib (571) docs (438) P3 (365) jailed-test (232) train (226) ml (218) tune (218) release-blocker (187) observability (176) unstable-release-test (165) stale (163) dashboard (147) ray-team-created (133) question (125)

Pull Request Labels

go (6,198) stale (665) core (639) community-contribution (408) dependencies (382) rllib (368) data (364) docs (360) python (337) tests-ok (232) rllib-newstack (197) release-blocker (172) serve (172) triage (168) @author-action-required (134) P1 (130) v2.7.0-pick (125) @external-author-action-required (83) rllib-docs-or-examples (80) P0 (80) P2 (77) bug (62) rllib-oldstack-cleanup (61) train (59) dashboard (56) observability (53) javascript (46) ray 2.10 (45) enhancement (43) do-not-merge (43)

Packages

Total packages: 45
Total downloads:
- pypi 15,066,554 last-month
- cargo 3,691 total
Total docker downloads: 21,573,531

Total dependent packages: 384
(may contain duplicates)
Total dependent repositories: 3,922
(may contain duplicates)
Total versions: 873
Total maintainers: 38
Total advisories: 5

pypi.org: ray

Ray provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
Documentation: https://ray.readthedocs.io/
License: Apache 2.0
Latest release: 2.49.1
published 6 months ago

Versions: 131
Dependent Packages: 310
Dependent Repositories: 3,641
Downloads: 15,039,356 Last month
Docker Downloads: 18,763,261

Rankings

Stargazers count: 0.1%

Forks count: 0.1%

Dependent packages count: 0.1%

Dependent repos count: 0.2%

Downloads: 0.2%

Average: 0.2%

Docker downloads count: 0.7%

Advisories (5)

Last synced: 6 months ago

pypi.org: ray-cpp

A subpackage of Ray which provides the Ray C++ API.

Homepage: https://github.com/ray-project/ray
Documentation: https://ray-cpp.readthedocs.io/
License: Apache 2.0
Latest release: 2.49.1
published 6 months ago

Versions: 81
Dependent Packages: 2
Dependent Repositories: 4
Downloads: 16,647 Last month
Docker Downloads: 2,791,706

Rankings

Stargazers count: 0.1%

Forks count: 0.1%

Docker downloads count: 0.7%

Downloads: 1.7%

Average: 2.2%

Dependent packages count: 3.2%

Dependent repos count: 7.5%

Maintainers (11)

pcmoritz aslonnie richardliaw bveeramani architkulkarni jjyao matthewdeng zcin artur1993 gene_anyscale khluu

Last synced: 6 months ago

spack.io: py-ray

Ray provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
License: []
Latest release: 2.0.1
published over 3 years ago

Versions: 2
Dependent Packages: 4
Dependent Repositories: 0

Rankings

Dependent repos count: 0.0%

Forks count: 0.3%

Stargazers count: 0.3%

Average: 3.1%

Dependent packages count: 11.6%

Maintainers (1)

adamjstewart

Last synced: 6 months ago

repo1.maven.org: io.ray:ray-api

java api for ray

Homepage: https://github.com/ray-project/ray
Documentation: https://appdoc.app/artifact/io.ray/ray-api/
License: The Apache License, Version 2.0
Latest release: 2.47.1
published 8 months ago

Versions: 63
Dependent Packages: 4
Dependent Repositories: 62
Docker Downloads: 167

Rankings

Stargazers count: 0.9%

Forks count: 1.4%

Dependent repos count: 2.7%

Average: 4.8%

Docker downloads count: 4.9%

Dependent packages count: 13.9%

Last synced: 6 months ago

conda-forge.org: ray-core

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-observability, ray-adag, ray-cgraph, ray-llm and ray-all packages.

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 21
Dependent Packages: 21
Dependent Repositories: 5

Rankings

Stargazers count: 1.2%

Forks count: 1.4%

Dependent packages count: 3.1%

Average: 5.1%

Dependent repos count: 14.8%

Last synced: 6 months ago

repo1.maven.org: io.ray:ray-runtime

ray runtime implementation

Homepage: https://github.com/ray-project/ray
Documentation: https://appdoc.app/artifact/io.ray/ray-runtime/
License: The Apache License, Version 2.0
Latest release: 2.47.1
published 8 months ago

Versions: 63
Dependent Packages: 3
Dependent Repositories: 62
Docker Downloads: 167

Rankings

Stargazers count: 0.9%

Forks count: 1.4%

Dependent repos count: 2.7%

Docker downloads count: 4.9%

Average: 5.5%

Dependent packages count: 17.6%

Last synced: 6 months ago

conda-forge.org: ray-default

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 15
Dependent Packages: 11
Dependent Repositories: 4

Rankings

Stargazers count: 1.2%

Forks count: 1.4%

Dependent packages count: 5.5%

Average: 6.1%

Dependent repos count: 16.2%

Last synced: 6 months ago

pypi.org: secretflow-ray

Ray provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
Documentation: https://secretflow-ray.readthedocs.io/
License: Apache 2.0
Latest release: 2.2.0
published about 3 years ago

Versions: 3
Dependent Packages: 3
Dependent Repositories: 1
Downloads: 139 Last month
Docker Downloads: 18,150

Rankings

Stargazers count: 0.1%

Forks count: 0.1%

Docker downloads count: 2.0%

Dependent packages count: 3.2%

Average: 6.7%

Downloads: 13.5%

Dependent repos count: 21.5%

Maintainers (1)

secretflow

Last synced: 6 months ago

conda-forge.org: ray-tune

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 21
Dependent Packages: 4
Dependent Repositories: 6

Rankings

Stargazers count: 1.2%

Forks count: 1.4%

Average: 7.3%

Dependent packages count: 12.5%

Dependent repos count: 14.0%

Last synced: 6 months ago

repo1.maven.org: io.ray:streaming-api

ray streaming api

Homepage: https://github.com/ray-project/ray
Documentation: https://appdoc.app/artifact/io.ray/streaming-api/
License: The Apache License, Version 2.0
Latest release: 1.10.0
published about 4 years ago

Versions: 15
Dependent Packages: 1
Dependent Repositories: 55
Docker Downloads: 40

Rankings

Stargazers count: 0.9%

Forks count: 1.4%

Dependent repos count: 2.9%

Docker downloads count: 5.9%

Average: 8.8%

Dependent packages count: 33.0%

Last synced: 6 months ago

repo1.maven.org: io.ray:streaming-state

ray streaming state

Homepage: https://github.com/ray-project/ray
Documentation: https://appdoc.app/artifact/io.ray/streaming-state/
License: The Apache License, Version 2.0
Latest release: 1.10.0
published about 4 years ago

Versions: 15
Dependent Packages: 1
Dependent Repositories: 54
Docker Downloads: 40

Rankings

Stargazers count: 0.9%

Forks count: 1.4%

Dependent repos count: 2.9%

Docker downloads count: 5.9%

Average: 8.8%

Dependent packages count: 33.0%

Last synced: 6 months ago

conda-forge.org: ray-all

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 21
Dependent Packages: 3
Dependent Repositories: 1

Rankings

Stargazers count: 1.2%

Forks count: 1.4%

Average: 10.7%

Dependent packages count: 15.6%

Dependent repos count: 24.4%

Last synced: 6 months ago

conda-forge.org: ray-dashboard

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-client, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 21
Dependent Packages: 1
Dependent Repositories: 2

Rankings

Stargazers count: 1.3%

Forks count: 1.5%

Average: 13.0%

Dependent repos count: 20.3%

Dependent packages count: 29.0%

Last synced: 6 months ago

pypi.org: fangyu-pypitest

A system for parallel and distributed Python that unifies the ML ecosystem.

Homepage: https://github.com/ray-project/ray
Documentation: https://fangyu-pypitest.readthedocs.io/
License: Apache 2.0
Latest release: 0.8.0.dev4
published over 6 years ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 7 Last month

Rankings

Stargazers count: 0.1%

Forks count: 0.1%

Dependent packages count: 10.1%

Average: 13.4%

Dependent repos count: 21.5%

Downloads: 35.3%

Maintainers (1)

fangyuwu

Last synced: 6 months ago

conda-forge.org: ray-serve

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 21
Dependent Packages: 1
Dependent Repositories: 1

Rankings

Stargazers count: 1.2%

Forks count: 1.4%

Average: 14.0%

Dependent repos count: 24.4%

Dependent packages count: 29.0%

Last synced: 6 months ago

conda-forge.org: ray-rllib

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 21
Dependent Packages: 1
Dependent Repositories: 1

Rankings

Stargazers count: 1.2%

Forks count: 1.4%

Average: 14.0%

Dependent repos count: 24.4%

Dependent packages count: 29.0%

Last synced: 6 months ago

conda-forge.org: ray-data

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 10
Dependent Packages: 1
Dependent Repositories: 1

Rankings

Stargazers count: 1.2%

Forks count: 1.4%

Average: 14.0%

Dependent repos count: 24.4%

Dependent packages count: 29.0%

Last synced: 6 months ago

conda-forge.org: ray-k8s

Ray is a fast and simple framework for building and running distributed applications. It is split into ray-core, ray-default, ray-dashboard, ray-serve, ray-rllib, ray-k8s, ray-data, ray-tune, ray-train, ray-air, ray-observability and ray-all packages.

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 2.0.1
published over 3 years ago

Versions: 19
Dependent Packages: 1
Dependent Repositories: 0

Rankings

Stargazers count: 1.3%

Forks count: 1.5%

Average: 16.4%

Dependent packages count: 28.8%

Dependent repos count: 34.0%

Last synced: 6 months ago

conda-forge.org: ray-autoscaler

Ray is a fast and simple framework for building and running distributed applications.

Homepage: https://github.com/ray-project/ray
License: Apache-2.0
Latest release: 1.1.0
published almost 5 years ago

Versions: 2
Dependent Packages: 1
Dependent Repositories: 0

Rankings

Stargazers count: 1.4%

Forks count: 1.6%

Average: 16.4%

Dependent packages count: 28.8%

Dependent repos count: 34.0%

Last synced: 6 months ago

anaconda.org: ray-core

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 8
Dependent Packages: 3
Dependent Repositories: 5

Rankings

Stargazers count: 3.5%

Forks count: 4.9%

Dependent packages count: 15.1%

Average: 16.7%

Dependent repos count: 43.2%

Last synced: 6 months ago

anaconda.org: ray-default

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 7
Dependent Packages: 5
Dependent Repositories: 4

Rankings

Stargazers count: 3.5%

Forks count: 4.9%

Dependent packages count: 15.1%

Average: 17.0%

Dependent repos count: 44.7%

Last synced: 6 months ago

anaconda.org: ray-tune

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 6
Dependent Packages: 2
Dependent Repositories: 6

Rankings

Stargazers count: 3.3%

Forks count: 4.9%

Average: 17.7%

Dependent packages count: 20.4%

Dependent repos count: 42.2%

Last synced: 6 months ago

pypi.org: ray-for-mars

Ray provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
Documentation: https://ray-for-mars.readthedocs.io/
License: Apache 2.0
Latest release: 1.12.1
published almost 4 years ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 1
Downloads: 32 Last month

Rankings

Stargazers count: 0.1%

Forks count: 0.1%

Dependent packages count: 10.1%

Average: 18.5%

Dependent repos count: 21.5%

Downloads: 60.5%

Maintainers (1)

burglar

Last synced: 6 months ago

crates.io: ray-rs-sys

Low-level bindings to the for the C-ABI Ray CoreWorker (shared library) harness

Documentation: https://docs.rs/ray-rs-sys/
License: Apache-2.0
Latest release: 0.0.0
published about 4 years ago

Versions: 1
Dependent Packages: 1
Dependent Repositories: 0
Downloads: 2,227 Total

Rankings

Forks count: 0.1%

Stargazers count: 0.2%

Dependent packages count: 17.0%

Average: 20.2%

Dependent repos count: 29.3%

Downloads: 54.6%

Maintainers (1)

jon-chuang

Last synced: 6 months ago

repo1.maven.org: io.ray:ray-serve

java for ray serve

Homepage: https://github.com/ray-project/ray
Documentation: https://appdoc.app/artifact/io.ray/ray-serve/
License: The Apache License, Version 2.0
Latest release: 2.47.1
published 8 months ago

Versions: 56
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Stargazers count: 0.7%

Forks count: 1.1%

Average: 20.7%

Dependent repos count: 32.0%

Dependent packages count: 48.9%

Last synced: 6 months ago

repo1.maven.org: io.ray:ray-streaming

A streaming framework built on ray

Homepage: https://github.com/ray-project/ray
Documentation: https://appdoc.app/artifact/io.ray/ray-streaming/
License: The Apache License, Version 2.0
Latest release: 1.10.0
published about 4 years ago

Versions: 15
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Stargazers count: 0.7%

Forks count: 1.1%

Average: 20.7%

Dependent repos count: 32.0%

Dependent packages count: 48.9%

Last synced: 6 months ago

repo1.maven.org: io.ray:streaming-runtime

ray streaming runtime

Homepage: https://github.com/ray-project/ray
Documentation: https://appdoc.app/artifact/io.ray/streaming-runtime/
License: The Apache License, Version 2.0
Latest release: 1.10.0
published about 4 years ago

Versions: 15
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Stargazers count: 0.8%

Forks count: 1.2%

Average: 20.7%

Dependent repos count: 32.0%

Dependent packages count: 48.9%

Last synced: 6 months ago

anaconda.org: ray-debug

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 4
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Stargazers count: 3.3%

Forks count: 5.1%

Average: 26.5%

Dependent packages count: 39.8%

Dependent repos count: 57.7%

Last synced: 6 months ago

anaconda.org: ray-dashboard

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 6
Dependent Packages: 0
Dependent Repositories: 2

Rankings

Stargazers count: 3.3%

Forks count: 4.9%

Average: 27.1%

Dependent repos count: 48.9%

Dependent packages count: 51.2%

Last synced: 6 months ago

anaconda.org: ray-train

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 4
Dependent Packages: 0
Dependent Repositories: 1

Rankings

Stargazers count: 3.4%

Forks count: 4.8%

Average: 27.7%

Dependent packages count: 51.2%

Dependent repos count: 51.4%

Last synced: 6 months ago

anaconda.org: ray-rllib

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 4
Dependent Packages: 0
Dependent Repositories: 1

Rankings

Stargazers count: 3.4%

Forks count: 4.8%

Average: 27.7%

Dependent packages count: 51.2%

Dependent repos count: 51.4%

Last synced: 6 months ago

anaconda.org: ray-data

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 4
Dependent Packages: 0
Dependent Repositories: 1

Rankings

Stargazers count: 3.4%

Forks count: 4.8%

Average: 27.7%

Dependent packages count: 51.2%

Dependent repos count: 51.4%

Last synced: 6 months ago

pypi.org: ant-ray-cpp-nightly

A subpackage of Ray which provides the Ray C++ API.

Homepage: https://github.com/ray-project/ray
Documentation: https://ant-ray-cpp-nightly.readthedocs.io/
License: Apache 2.0
Latest release: 2.47.1
published 7 months ago

Versions: 19
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 4,801 Last month

Rankings

Dependent packages count: 8.7%

Average: 29.0%

Dependent repos count: 49.3%

Maintainers (1)

weiquanlee

Last synced: 6 months ago

pypi.org: ant-ray-cpp

A subpackage of Ray which provides the Ray C++ API.

Homepage: https://github.com/ray-project/ray
Documentation: https://ant-ray-cpp.readthedocs.io/
License: Apache 2.0
Latest release: 3.0.0.dev0
published 7 months ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 16 Last month

Rankings

Dependent packages count: 8.7%

Average: 29.0%

Dependent repos count: 49.3%

Maintainers (1)

weiquanlee

Last synced: 6 months ago

crates.io: ray-rs

Ray Rust language worker API

Documentation: https://docs.rs/ray-rs/
License: Apache-2.0
Latest release: 0.0.0
published about 4 years ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 1,464 Total

Rankings

Forks count: 0.1%

Stargazers count: 0.2%

Average: 29.1%

Dependent repos count: 29.3%

Dependent packages count: 33.8%

Downloads: 82.1%

Maintainers (1)

jon-chuang

Last synced: 6 months ago

pypi.org: ve-ray

Ray provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
Documentation: https://ve-ray.readthedocs.io/
License: Apache 2.0
Latest release: 2.46.0.0
published 7 months ago

Versions: 3
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 44 Last month

Rankings

Dependent packages count: 9.0%

Average: 29.9%

Dependent repos count: 50.8%

Maintainers (2)

langteam snzhaovolcanoengine

Last synced: 6 months ago

pypi.org: ant-ray

Ray provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
Documentation: https://ant-ray.readthedocs.io/
License: Apache 2.0
Latest release: 2.44.1
published 11 months ago

Versions: 14
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 656 Last month

Rankings

Dependent packages count: 9.8%

Average: 32.6%

Dependent repos count: 55.4%

Maintainers (5)

NKcqx JackyMa weiquanlee wumuzi520 QstarOne

Last synced: 6 months ago

pypi.org: ant-ray-nightly

Ray provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
Documentation: https://ant-ray-nightly.readthedocs.io/
License: Apache 2.0
Latest release: 2.47.1
published 7 months ago

Versions: 83
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 4,856 Last month

Rankings

Dependent packages count: 9.9%

Average: 32.7%

Dependent repos count: 55.5%

Maintainers (5)

NKcqx JackyMa weiquanlee wumuzi520 QstarOne

Last synced: 6 months ago

pypi.org: ray-nightly

Ray provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
Documentation: https://ray-nightly.readthedocs.io/
License: Apache 2.0
Latest release: 3.0.0.dev20241219
published about 1 year ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 9.9%

Average: 32.7%

Dependent repos count: 55.6%

Maintainers (1)

NKcqx

Last synced: 6 months ago

repo1.maven.org: io.ray:ray-superpom

An open source framework that provides a simple, universal API for building distributed applications.

Homepage: https://github.com/ray-project/ray
Documentation: https://appdoc.app/artifact/io.ray/ray-superpom/
License: The Apache License, Version 2.0
Latest release: 2.47.1
published 8 months ago

Versions: 63
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent repos count: 32.0%

Average: 40.4%

Dependent packages count: 48.9%

Last synced: 6 months ago

anaconda.org: ray-client

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 46.7%

Average: 49.0%

Dependent repos count: 51.3%

Last synced: 6 months ago

anaconda.org: ray-serve-grpc

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 46.7%

Average: 49.0%

Dependent repos count: 51.3%

Last synced: 6 months ago

anaconda.org: ray-observability

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 46.7%

Average: 49.0%

Dependent repos count: 51.3%

Last synced: 6 months ago

anaconda.org: ray-air

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 46.7%

Average: 49.0%

Dependent repos count: 51.3%

Last synced: 6 months ago

anaconda.org: ray-serve

Homepage: https://www.ray.io/
License: Apache-2.0
Latest release: 2.46.0
published 7 months ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 46.7%

Average: 49.0%

Dependent repos count: 51.3%

Last synced: 6 months ago

Dependencies

.vale/styles/Google/meta.json cpan

doc/source/templates/05_dreambooth_finetuning/configs/Dockerfile docker

anyscale/ray latest-py39-cu118 build

doc/source/templates/testing/docker/03_serving_stable_diffusion/Dockerfile docker

anyscale/ray latest-py39-cu118 build

doc/source/templates/testing/docker/04_finetuning_llms_with_deepspeed/Dockerfile docker

anyscale/ray 2.6.1-py39-cu117 build

docker/base-deps/Dockerfile docker

${BASE_IMAGE} latest build

docker/development/Dockerfile docker

rayproject/ray-deps latest build

docker/examples/Dockerfile docker

rayproject/ray latest build

docker/ray/Dockerfile docker

$FULL_BASE_IMAGE latest build

docker/ray-deps/Dockerfile docker

rayproject/base-deps nightly"$BASE_IMAGE" build

docker/ray-ml/Dockerfile docker

"$FULL_BASE_IMAGE" latest build

docker/ray-worker-container/Dockerfile docker

${BASE_IMAGE} latest build

python/ray/tests/kuberay/Dockerfile docker

rayproject/ray nightly-py310 build

python/ray/tests/project_files/docker_project/Dockerfile docker

src/ray/rpc/test/grpc_bench/Dockerfile docker

ubuntu 22.04 build

java/pom.xml maven

org.testng:testng 7.5.1

dashboard/client/package-lock.json npm

1460 dependencies

release/ray_release/byod/requirements_byod_3.9.in pypi

release/ray_release/byod/requirements_byod_3.9.txt pypi

dashboard/client/package.json npm

@testing-library/jest-dom ^5.16.5 development
@testing-library/react ^12.1.5 development
@testing-library/user-event ^14.4.3 development
@types/js-yaml ^4.0.5 development
@types/react ^17.0.50 development
@types/react-dom ^17.0.17 development
@typescript-eslint/eslint-plugin ^5.41.0 development
@typescript-eslint/parser ^5.41.0 development
eslint-plugin-import ^2.26.0 development
eslint-plugin-prefer-arrow ^1.2.3 development
mockdate ^3.0.5 development
npm ^8.19.2 development
prettier 2.3.0 development
@material-ui/core ^4.12.4
@material-ui/icons ^4.11.3
@material-ui/lab ^4.0.0-alpha.61
@material-ui/pickers ^3.2.10
@material-ui/styles ^4.11.5
@reduxjs/toolkit ^1.3.1
@types/classnames ^2.2.10
@types/jest ^27.5.2
@types/lodash ^4.14.161
@types/lowlight ^0.0.1
@types/node 13.9.5
@types/numeral ^0.0.26
@types/react-redux ^7.1.7
@types/react-window ^1.8.2
axios ^0.21.1
classnames ^2.2.6
copy-to-clipboard ^3.3.2
dayjs ^1.9.4
js-yaml ^4.1.0
lodash ^4.17.20
lowlight ^1.14.0
react ^17.0.2
react-dom ^17.0.2
react-icons ^4.7.1
react-router-dom ^6.4.3
react-scripts ^5.0.1
react-window ^1.8.5
swr ^2.1.0
typeface-roboto 0.0.75
typescript ^4.8.4

binder/requirements.txt pypi

ray *

ci/compile_py_proto/requirements_compile_py_proto.in pypi

grpcio-tools ==1.46.5
setuptools *

ci/compile_py_proto/requirements_compile_py_proto.txt pypi

grpcio ==1.57.0
grpcio-tools ==1.46.5
protobuf ==3.20.3
setuptools ==68.0.0

ci/ray_ci/requirements.in pypi

click *
pytest *
pyyaml *

ci/ray_ci/requirements.txt pypi

click ==8.1.6
exceptiongroup ==1.1.2
iniconfig ==2.0.0
packaging ==23.1
pluggy ==1.2.0
pytest ==7.4.0
pyyaml ==6.0.1
tomli ==2.0.1

ci/repro-ci-requirements.txt pypi

boto3 *
click *
paramiko *
pybuildkite *
pyyaml *

doc/requirements-doc.txt pypi

Pygments ==2.13.0
autodoc_pydantic ==1.6.1
jupytext ==1.13.6
myst-nb ==0.13.1
myst-parser ==0.15.2
pydantic <2
sphinx ==4.3.2
sphinx-book-theme ==0.3.3
sphinx-click ==3.0.2
sphinx-copybutton ==0.4.0
sphinx-external-toc ==0.2.4
sphinx-jsonschema ==1.17.2
sphinx-remove-toctrees ==0.0.3
sphinx-sitemap ==2.2.0
sphinx-tabs ==3.4.0
sphinx-version-warning ==1.1.2
sphinx_design ==0.4.1
sphinxcontrib-redoc ==1.6.0
sphinxemoji ==0.2.0
urllib3 <1.27
watchfiles *

doc/source/ray-core/examples/lbfgs/ray-project/requirements.txt pypi

ray *

doc/source/templates/02_many_model_training/requirements.txt pypi

statsforecast ==1.5.0

doc/source/templates/05_dreambooth_finetuning/dreambooth/requirements.txt pypi

accelerate ==0.20.3
bitsandbytes ==0.39.1
diffusers ==0.19.3
flax ==0.6.11
huggingface_hub ==0.16.2
ipywidgets *
numpy ==1.24.4
torch ==2.0.1
torchvision ==0.15.2
transformers ==4.30.2

doc/source/templates/testing/docker/03_serving_stable_diffusion/requirements.txt pypi

accelerate ==0.20.3 test
diffusers ==0.17.1 test
fastapi ==0.97.0 test
ipywidgets * test
matplotlib ==3.7.1 test
numpy ==1.24.3 test
torch ==2.0.1 test
transformers ==4.30.1 test

doc/source/templates/testing/docker/04_finetuning_llms_with_deepspeed/requirements.txt pypi

accelerate * test
bitsandbytes * test
dataset * test
deepspeed * test
evaluate * test
fairscale * test
lm_eval ==0.3.0 test
protobuf <3.21.0 test
pytorch-lightning * test
sentencepiece * test
tiktoken ==0.1.2 test
torch ==2.0.0 test
torchaudio ==2.0.1 test
torchmetrics * test
torchvision ==0.15.1 test
transformers >=4.31.0 test
wandb * test

python/ray/tests/project_files/project1/requirements.txt pypi

python/ray/tests/project_files/requirements_project/requirements.txt pypi

python/ray/tests/project_files/session-tests/git-repo-pass/ray-project/requirements.txt pypi

ray * test

python/ray/tests/project_files/session-tests/invalid-config-fail/ray-project/requirements.txt pypi

ray * test

python/ray/tests/project_files/session-tests/project-pass/ray-project/requirements.txt pypi

ray * test

python/ray/tune/requirements-dev.txt pypi

black ==22.10.0 development
flake8 ==3.9.1 development
flake8-quotes * development
gym >=0.21.0,<0.24.0 development
pandas * development
requests * development
scikit-image * development
tensorflow * development
yq * development

python/ray/util/collective/requirements.txt pypi

cupy-cuda100 *

python/requirements/compat/requirements_legacy_compat.txt pypi

keras ==2.7.0
lightgbm_ray ==0.1.9
pyarrow ==6.0.1
pytorch-lightning ==1.5.10
ray *
tensorflow ==2.7.0
tensorflow-probability ==0.14.1
torch ==1.9.0
torchvision ==0.10.0
xgboost_ray ==0.1.18

python/requirements/docker/ray-docker-requirements.txt pypi

gsutil *
ipython *
ipywidgets *
tblib *

python/requirements/lint-requirements.txt pypi

black ==22.10.0
clang-format ==12.0.1
docutils *
flake8 ==3.9.1
flake8-bugbear ==21.9.2
flake8-comprehensions ==3.10.1
flake8-quotes ==2.0.0
isort ==5.10.1
mypy ==0.982
semgrep ==1.32.0
shellcheck-py ==0.7.1.1
types-PyYAML ==6.0.12.2
yq *

python/requirements/ml/core-requirements.txt pypi

accelerate ==0.20.3
comet-ml ==3.31.9
lightgbm ==3.3.5
lightgbm_ray ==0.1.9
mlflow ==1.30.0
mlflow ==2.4.1
s3fs ==2023.1.0
s3fs ==2023.5.0
transformers ==4.19.1
wandb ==0.13.4
xgboost ==1.7.6
xgboost ==1.6.2
xgboost_ray ==0.1.18

python/requirements/ml/data-requirements.txt pypi

aioboto3 ==11.0.1
aioboto3 ==11.2.0
crc32c ==2.3
dask ==2022.10.1
dask ==2022.2.0
flask_cors *
modin ==0.12.1
modin ==0.22.2
pymars >=0.8.3
raydp >=0.0.dev0
responses ==0.13.4

python/requirements/ml/data-test-requirements.txt pypi

datasets * test
google-cloud-bigquery * test
google-cloud-bigquery-storage * test
pickle5 * test
pytest-repeat * test
python-snappy * test
soundfile * test
tensorflow-datasets * test

python/requirements/ml/dl-cpu-requirements.txt pypi

tensorflow ==2.11.0
tensorflow-datasets *
tensorflow-macos ==2.11.0
tensorflow-probability ==0.19.0
torch ==1.13.0
torch ==2.0.1
torch-cluster ==1.6.1
torch-geometric ==2.3.1
torch-scatter ==2.1.1
torch-sparse ==0.6.17
torch-spline-conv ==1.2.2
torchmetrics ==0.9.3
torchmetrics ==0.10.3
torchtext ==0.15.2
torchtext ==0.14.0
torchvision ==0.15.2
torchvision ==0.14.0

python/requirements/ml/dl-gpu-requirements.txt pypi

tensorflow ==2.11.0
tensorflow-datasets *
tensorflow-macos ==2.11.0
tensorflow-probability ==0.19.0
torch ==2.0.1
torch-cluster ==1.6.1
torch-scatter ==2.1.1
torch-sparse ==0.6.17
torch-spline-conv ==1.2.2
torchvision ==0.15.2

python/requirements/ml/rllib-requirements.txt pypi

higher ==0.2.1
imageio-ffmpeg ==0.4.5
msgpack *
msgpack_numpy *
onnx ==1.12.0
onnxruntime ==1.14.1
pyglet ==1.5.15
rich ==12.6.0
tf2onnx ==1.13.0

python/requirements/ml/rllib-test-requirements.txt pypi

ale_py ==0.8.1 test
autorom * test
chess ==1.7.0 test
dm_control ==1.0.12 test
dopamine-rl ==4.0.5 test
gymnasium ==0.28.1 test
h5py ==3.7.0 test
imageio ==2.31.1 test
kaggle_environments ==1.7.11 test
minigrid ==2.1.1 test
mlagents_envs ==0.28.0 test
mujoco ==2.3.6 test
open-spiel ==1.2 test
pettingzoo ==1.23.1 test
pymunk ==6.2.1 test
recsim ==0.2.4 test
shimmy * test
supersuit ==3.8.0 test
tensorflow_estimator ==2.11.0 test
tinyscaler ==1.2.6 test

python/requirements/ml/train-requirements.txt pypi

datasets ==2.0.0
deepspeed ==0.8.3

python/requirements/ml/train-test-requirements.txt pypi

evaluate ==0.4.0 test
sentencepiece ==0.1.96 test

python/requirements/ml/tune-requirements.txt pypi

ConfigSpace ==0.7.1
ax-platform ==0.3.2
ax-platform ==0.2.6
bayesian-optimization ==1.4.3
dragonfly-opt ==0.1.7
flaml ==1.1.1
hpbandster ==0.7.4
hyperopt ==0.2.7
nevergrad ==0.4.3.post7
optuna ==3.2.0
tune-sklearn ==0.4.6

python/requirements/ml/tune-test-requirements.txt pypi

aim ==3.17.5 test
fairscale ==0.4.6 test
gpy ==1.10.0 test
jupyterlab ==3.6.1 test
matplotlib * test
pytest-remotedata ==0.3.2 test
pytorch-lightning ==1.6.5 test
scikit-optimize ==0.9.0 test
shortuuid ==1.0.1 test
sigopt ==7.5.0 test
timm ==0.9.2 test
zoopt ==0.4.1 test

python/requirements/test-requirements.txt pypi

Pillow ==9.2.0 test
PyOpenSSL ==22.1.0 test
Pygments ==2.13.0 test
async-exit-stack ==1.0.1 test
async-generator ==1.10 test
asyncmock ==0.4.2 test
attrs ==21.4.0 test
azure-cli-core ==2.40.0 test
azure-identity ==1.10.0 test
azure-mgmt-compute ==23.1.0 test
azure-mgmt-network ==19.0.0 test
azure-mgmt-resource ==20.0.0 test
backoff ==1.10 test
beautifulsoup4 ==4.11.1 test
boto3 ==1.24.59 test
boto3 ==1.26.76 test
cloudpickle ==2.2.0 test
cryptography ==38.0.1 test
cython ==0.29.32 test
dataclasses * test
fastapi ==0.99.1 test
feather-format ==0.4.1 test
flask ==2.1.3 test
freezegun ==1.1.0 test
google-api-python-client ==2.65.0 test
google-cloud-storage ==2.5.0 test
gradio ==3.11 test
h11 ==0.12.0 test
httpcore ==0.15.0 test
importlib-metadata ==4.10.0 test
jinja2 ==3.0.3 test
joblib ==1.2.0 test
jsonpatch ==1.32 test
jupytext ==1.13.6 test
kubernetes ==24.2.0 test
llvmlite ==0.39.1 test
lxml ==4.9.1 test
markdown-it-py ==1.1.0 test
memray * test
moto ==4.0.7 test
msrestazure ==0.6.4 test
mypy ==0.982 test
myst-nb ==0.13.1 test
myst-parser ==0.15.2 test
networkx ==2.6.3 test
numba ==0.56.4 test
numexpr ==2.8.4 test
openpyxl ==3.0.10 test
opentelemetry-api ==1.1.0 test
opentelemetry-exporter-opencensus ==0.20b0 test
opentelemetry-exporter-otlp ==1.1.0 test
opentelemetry-sdk ==1.1.0 test
pexpect ==4.8.0 test
polars ==0.14.21 test
proxy.py ==2.4.3 test
pydantic ==1.10.12 test
pydot ==1.4.2 test
pygame ==2.1.2 test
pymongo ==4.3.2 test
pyspark ==3.3.1 test
pytest ==7.0.1 test
pytest-asyncio ==0.16.0 test
pytest-docker-tools ==3.1.3 test
pytest-forked ==1.4.0 test
pytest-httpserver ==1.0.6 test
pytest-lazy-fixture ==0.6.3 test
pytest-rerunfailures ==11.1.2 test
pytest-sugar ==0.9.5 test
pytest-timeout ==2.1.0 test
pytest-virtualenv ==1.7.0 test
pytz ==2022.7.1 test
redis ==4.4.2 test
scikit-learn ==1.0.2 test
segment-analytics-python ==2.2.0 test
smart_open ==6.2.0 test
sphinx ==4.3.2 test
starlette ==0.27.0 test
sympy ==1.10.1 test
tensorboardX ==2.6.0 test
testfixtures ==7.0.0 test
threadpoolctl ==3.1.0 test
tqdm ==4.64.1 test
trustme ==0.9.0 test
typing-extensions ==4.5.0 test
uvicorn ==0.22.0 test
watchfiles ==0.19.0 test
websockets ==11.0.3 test
werkzeug ==2.1.2 test
xlrd ==2.0.1 test
yq ==3.2.2 test

python/requirements.txt pypi

aiohttp >=3.7
aiohttp_cors *
aiorwlock *
aiosignal *
click >=7.0
colorful *
dataclasses *
dm_tree *
fastapi *
filelock *
frozenlist *
fsspec *
gpustat >=1.0.0
grpcio ==1.54.2
grpcio >=1.54.2
gymnasium ==0.28.1
jsonschema *
lz4 *
msgpack <2.0.0,>=1.0.0
numpy >=1.16
numpy >=1.19.3
numpy >=1.20
opencensus *
opentelemetry-api *
opentelemetry-exporter-otlp *
opentelemetry-sdk *
packaging *
pandas *
pandas >=1.3
prometheus_client >=0.7.1
protobuf *
py-spy >=0.2.0
pyarrow >=6.0.1,<7.0.0
pyarrow >=6.0.1
pydantic <2
pyyaml *
requests *
rich *
scikit-image *
scipy *
smart_open *
starlette *
tensorboardX <=2.6.0,>=1.9
typer *
typing_extensions *
uvicorn *
virtualenv <20.21.1,>=20.0.24
watchfiles *

python/requirements_compiled.txt pypi

about-time ==4.2.1
absl-py ==1.4.0
accelerate ==0.20.3
adal ==1.2.7
aim ==3.17.5
aim-ui ==3.17.5
aimrecords ==0.0.7
aimrocks ==0.4.0
aioboto3 ==11.2.0
aiobotocore ==2.5.0
aiofiles ==22.1.0
aiohttp ==3.8.5
aiohttp-cors ==0.7.0
aioitertools ==0.11.0
aiorwlock ==1.3.0
aiosignal ==1.3.1
aiosqlite ==0.19.0
alabaster ==0.7.13
ale-py ==0.8.1
alembic ==1.12.0
alive-progress ==3.1.4
anyio ==3.7.1
applicationinsights ==0.11.10
argcomplete ==1.12.3
argon2-cffi ==23.1.0
argon2-cffi-bindings ==21.2.0
array-record ==0.4.0
arrow ==1.3.0
asttokens ==2.4.0
astunparse ==1.6.3
async-exit-stack ==1.0.1
async-generator ==1.10
async-timeout ==4.0.3
asyncmock ==0.4.2
attrs ==21.4.0
autodoc-pydantic ==1.6.1
autograd ==1.6.2
autorom ==0.6.1
autorom-accept-rom-license ==0.6.1
aws-sam-translator ==1.76.0
aws-xray-sdk ==2.12.0
ax-platform ==0.3.2
azure-cli-core ==2.40.0
azure-cli-telemetry ==1.0.8
azure-common ==1.1.28
azure-core ==1.29.1
azure-identity ==1.10.0
azure-mgmt-compute ==23.1.0
azure-mgmt-core ==1.4.0
azure-mgmt-network ==19.0.0
azure-mgmt-resource ==20.0.0
babel ==2.13.0
backcall ==0.2.0
backoff ==1.10.0
base58 ==2.0.1
bayesian-optimization ==1.4.3
bcrypt ==4.0.1
beautifulsoup4 ==4.11.1
black ==22.10.0
bleach ==6.0.0
blessed ==1.20.0
bokeh ==2.4.3
boltons ==21.0.0
boto ==2.49.0
boto3 ==1.26.76
botocore ==1.29.76
botorch ==0.8.5
bracex ==2.4
cached-property ==1.5.2
cachetools ==5.3.1
catboost ==1.2.2
certifi ==2023.7.22
cffi ==1.16.0
cfn-lint ==0.80.4
charset-normalizer ==3.3.0
chess ==1.7.0
chex ==0.1.7
clang-format ==12.0.1
click ==8.1.7
click-option-group ==0.5.6
cloudpickle ==2.2.0
cma ==3.2.2
cmaes ==0.10.0
colorama ==0.4.6
coloredlogs ==15.0.1
colorful ==0.5.5
colorlog ==6.7.0
comet-ml ==3.31.9
comm ==0.1.4
commonmark ==0.9.1
configobj ==5.0.8
configspace ==0.7.1
contextlib2 ==21.6.0
contourpy ==1.1.1
crc32c ==2.3
crcmod ==1.7
cryptography ==38.0.1
cycler ==0.12.0
cython ==0.29.32
dask ==2022.10.1
databricks-cli ==0.18.0
datasets ==2.0.0
debugpy ==1.8.0
decorator ==5.1.1
deepspeed ==0.8.3
defusedxml ==0.7.1
deprecated ==1.2.14
dill ==0.3.7
distlib ==0.3.7
distributed ==2022.10.1
dm-control ==1.0.12
dm-env ==1.6
dm-tree ==0.1.8
dnspython ==2.4.2
docker ==6.1.3
docker-pycreds ==0.4.0
docutils ==0.17.1
dopamine-rl ==4.0.5
dragonfly-opt ==0.1.7
dulwich ==0.21.6
ecdsa ==0.18.0
email-validator ==2.0.0.post2
entrypoints ==0.4
et-xmlfile ==1.1.0
etils ==1.3.0
evaluate ==0.4.0
everett ==3.2.0
exceptiongroup ==1.1.3
execnet ==2.0.2
executing ==2.0.0
face ==22.0.0
fairscale ==0.4.6
farama-notifications ==0.0.4
fastapi ==0.99.1
fasteners ==0.19
fastjsonschema ==2.18.1
feather-format ==0.4.1
ffmpy ==0.3.1
filelock ==3.12.4
flake8 ==3.9.1
flake8-bugbear ==21.9.2
flake8-comprehensions ==3.10.1
flake8-quotes ==2.0.0
flaml ==1.1.1
flask ==2.1.3
flask-cors ==4.0.0
flatbuffers ==2.0.7
flax ==0.7.2
fonttools ==4.43.0
fqdn ==1.5.1
freezegun ==1.1.0
frozenlist ==1.4.0
fsspec ==2023.5.0
future ==0.18.3
gast ==0.4.0
gcs-oauth2-boto-plugin ==3.0
gin-config ==0.5.0
gitdb ==4.0.10
gitpython ==3.1.37
glfw ==2.6.2
glom ==22.1.0
google-api-core ==2.12.0
google-api-python-client ==2.65.0
google-apitools ==0.5.32
google-auth ==2.23.2
google-auth-httplib2 ==0.1.1
google-auth-oauthlib ==0.4.6
google-cloud-bigquery ==3.11.0
google-cloud-bigquery-storage ==2.20.0
google-cloud-core ==2.3.3
google-cloud-storage ==2.5.0
google-crc32c ==1.5.0
google-pasta ==0.2.0
google-reauth ==0.1.1
google-resumable-media ==2.6.0
googleapis-common-protos ==1.60.0
gpustat ==1.1.1
gpy ==1.10.0
gpytorch ==1.10
gradio ==3.11.0
grapheme ==0.6.0
graphql-core ==3.2.3
graphviz ==0.20.1
greenlet ==3.0.0
grpcio ==1.59.0
grpcio-status ==1.48.2
gsutil ==5.26
gunicorn ==20.1.0
gym ==0.26.2
gym-notices ==0.0.8
gymnasium ==0.28.1
h11 ==0.12.0
h5py ==3.7.0
higher ==0.2.1
hjson ==3.1.0
hpbandster ==0.7.4
httpcore ==0.15.0
httplib2 ==0.20.4
httptools ==0.6.0
httpx ==0.24.1
huggingface-hub ==0.17.3
humanfriendly ==10.0
hyperopt ==0.2.7
idna ==3.4
imageio ==2.31.1
imageio-ffmpeg ==0.4.5
imagesize ==1.4.1
importlib-metadata ==4.10.0
importlib-resources ==5.13.0
iniconfig ==2.0.0
ipykernel ==6.25.2
ipython ==8.12.3
ipython-genutils ==0.2.0
ipywidgets ==7.8.1
isodate ==0.6.1
isoduration ==20.11.0
isort ==5.10.1
itsdangerous ==2.1.2
jax ==0.4.13
jax-jumpy ==1.0.0
jaxlib ==0.4.13
jedi ==0.19.1
jinja2 ==3.0.3
jmespath ==1.0.1
joblib ==1.2.0
jschema-to-python ==1.2.3
json5 ==0.9.14
jsondiff ==2.0.0
jsonpatch ==1.32
jsonpickle ==3.0.2
jsonpointer ==2.4
jsonschema ==4.17.3
jsonschema-spec ==0.1.6
junit-xml ==1.9
jupyter-cache ==0.4.3
jupyter-client ==7.3.4
jupyter-core ==5.3.2
jupyter-events ==0.6.3
jupyter-server ==1.24.0
jupyter-server-fileid ==0.9.0
jupyter-server-mathjax ==0.2.6
jupyter-server-ydoc ==0.6.1
jupyter-sphinx ==0.3.2
jupyter-ydoc ==0.2.5
jupyterlab ==3.6.1
jupyterlab-pygments ==0.2.2
jupyterlab-server ==2.24.0
jupyterlab-widgets ==1.1.7
jupytext ==1.13.6
kaggle-environments ==1.7.11
keras ==2.11.0
kiwisolver ==1.4.5
knack ==0.10.1
kubernetes ==24.2.0
labmaze ==1.0.6
lazy-object-proxy ==1.9.0
libclang ==16.0.6
lightgbm ==3.3.5
linear-operator ==0.4.0
linkify-it-py ==1.0.3
llvmlite ==0.39.1
locket ==1.0.0
lxml ==4.9.1
lz4 ==4.3.2
mako ==1.2.4
markdown ==3.4.4
markdown-it-py ==1.1.0
markupsafe ==2.1.3
matplotlib ==3.7.3
matplotlib-inline ==0.1.6
mccabe ==0.6.1
mdit-py-plugins ==0.2.8
memray ==1.10.0
minigrid ==2.1.1
mistune ==0.8.4
ml-dtypes ==0.2.0
mlagents-envs ==0.28.0
mlflow ==2.4.1
mock ==5.1.0
modin ==0.22.2
monotonic ==1.6
more-itertools ==10.1.0
moto ==4.0.7
mpmath ==1.3.0
msal ==1.18.0b1
msal-extensions ==1.0.0
msgpack ==1.0.7
msgpack-numpy ==0.4.8
msrest ==0.7.1
msrestazure ==0.6.4
mujoco ==2.3.6
multidict ==6.0.4
multipledispatch ==1.0.0
multiprocess ==0.70.15
mypy ==0.982
mypy-extensions ==1.0.0
myst-nb ==0.13.1
myst-parser ==0.15.2
nbclassic ==1.0.0
nbclient ==0.5.13
nbconvert ==6.5.4
nbdime ==3.2.1
nbformat ==5.9.2
nest-asyncio ==1.5.8
netifaces ==0.11.0
networkx ==2.6.3
nevergrad ==0.4.3.post7
ninja ==1.11.1
notebook ==6.5.6
notebook-shim ==0.2.3
numba ==0.56.4
numexpr ==2.8.4
numpy ==1.23.5
nvidia-ml-py ==12.535.108
oauth2client ==4.1.3
oauthlib ==3.2.2
onnx ==1.12.0
onnxruntime ==1.14.1
open-spiel ==1.2
openapi-schema-validator ==0.4.4
openapi-spec-validator ==0.5.7
opencensus ==0.11.3
opencensus-context ==0.1.3
opencensus-proto ==0.1.0
opencv-python ==4.8.1.78
openpyxl ==3.0.10
opentelemetry-api ==1.1.0
opentelemetry-exporter-opencensus ==0.20b0
opentelemetry-exporter-otlp ==1.1.0
opentelemetry-exporter-otlp-proto-grpc ==1.1.0
opentelemetry-proto ==1.1.0
opentelemetry-sdk ==1.1.0
opentelemetry-semantic-conventions ==0.20b0
opt-einsum ==3.3.0
optax ==0.1.7
optuna ==3.2.0
orbax-checkpoint ==0.2.3
orjson ==3.9.7
packaging ==21.3
pandas ==1.5.3
pandocfilters ==1.5.0
paramiko ==2.12.0
paramz ==0.9.5
parso ==0.8.3
partd ==1.4.1
path ==16.7.1
path-py ==12.5.0
pathable ==0.4.3
pathspec ==0.11.2
pathtools ==0.1.2
patsy ==0.5.3
pbr ==5.11.1
peewee ==3.16.3
pettingzoo ==1.23.1
pexpect ==4.8.0
pickleshare ==0.7.5
pillow ==9.2.0
pkginfo ==1.9.6
pkgutil-resolve-name ==1.3.10
platformdirs ==3.11.0
plotly ==5.17.0
pluggy ==1.3.0
polars ==0.14.21
portalocker ==2.8.2
prometheus-client ==0.17.1
promise ==2.3
prompt-toolkit ==3.0.39
proto-plus ==1.22.3
protobuf ==3.19.6
proxy-py ==2.4.3
psutil ==5.9.5
ptyprocess ==0.7.0
pure-eval ==0.2.2
py ==1.11.0
py-cpuinfo ==9.0.0
py-spy ==0.3.14
py3nvml ==0.2.7
py4j ==0.10.9.5
pyaml ==23.9.7
pyarrow ==12.0.1
pyasn1 ==0.5.0
pyasn1-modules ==0.3.0
pycodestyle ==2.7.0
pycparser ==2.21
pycryptodome ==3.19.0
pydantic ==1.10.12
pydata-sphinx-theme ==0.8.1
pydeprecate ==0.3.2
pydot ==1.4.2
pydub ==0.25.1
pyflakes ==2.3.1
pygame ==2.1.2
pyglet ==1.5.15
pygments ==2.13.0
pyjwt ==2.8.0
pymars ==0.10.0
pymongo ==4.3.2
pymoo ==0.6.0.1
pymunk ==6.2.1
pynacl ==1.5.0
pyopengl ==3.1.7
pyopenssl ==22.1.0
pyparsing ==3.1.1
pypng ==0.20220715.0
pyro-api ==0.1.2
pyro-ppl ==1.8.6
pyro4 ==4.82
pyrsistent ==0.19.3
pysocks ==1.7.1
pyspark ==3.3.1
pytest ==7.0.1
pytest-asyncio ==0.16.0
pytest-docker-tools ==3.1.3
pytest-fixture-config ==1.7.0
pytest-forked ==1.4.0
pytest-httpserver ==1.0.6
pytest-lazy-fixture ==0.6.3
pytest-remotedata ==0.3.2
pytest-repeat ==0.9.2
pytest-rerunfailures ==11.1.2
pytest-shutil ==1.7.0
pytest-sugar ==0.9.5
pytest-timeout ==2.1.0
pytest-virtualenv ==1.7.0
python-dateutil ==2.8.2
python-dotenv ==1.0.0
python-jose ==3.3.0
python-json-logger ==2.0.7
python-lsp-jsonrpc ==1.0.0
python-multipart ==0.0.6
python-snappy ==0.6.1
pytorch-lightning ==1.6.5
pytz ==2022.7.1
pyu2f ==0.1.5
pyvmomi ==8.0.2.0
pywavelets ==1.4.1
pyyaml ==6.0.1
pyzmq ==24.0.1
querystring-parser ==1.2.4
raydp ==1.7.0b20230919.dev0
recsim ==0.2.4
redis ==4.4.2
regex ==2023.10.3
requests ==2.31.0
requests-oauthlib ==1.3.1
requests-toolbelt ==1.0.0
responses ==0.13.4
restrictedpython ==6.2
retry-decorator ==1.1.1
rfc3339-validator ==0.1.4
rfc3986-validator ==0.1.1
rich ==12.6.0
rsa ==4.7.2
ruamel-yaml ==0.17.35
ruamel-yaml-clib ==0.2.8
s3fs ==2023.5.0
s3transfer ==0.6.2
safetensors ==0.3.3
sarif-om ==1.0.4
scikit-image ==0.19.3
scikit-learn ==1.0.2
scikit-optimize ==0.9.0
scipy ==1.10.1
segment-analytics-python ==2.2.0
semantic-version ==2.10.0
semgrep ==1.32.0
send2trash ==1.8.2
sentencepiece ==0.1.96
sentry-sdk ==1.31.0
serpent ==1.41
setproctitle ==1.3.3
shellcheck-py ==0.7.1.1
shimmy ==1.2.1
shortuuid ==1.0.1
sigopt ==7.5.0
six ==1.16.0
smart-open ==6.2.0
smmap ==5.0.1
sniffio ==1.3.0
snowballstemmer ==2.2.0
sortedcontainers ==2.4.0
soundfile ==0.12.1
soupsieve ==2.5
sphinx ==4.3.2
sphinx-book-theme ==0.3.3
sphinx-click ==3.0.2
sphinx-copybutton ==0.4.0
sphinx-design ==0.4.1
sphinx-external-toc ==0.2.4
sphinx-jsonschema ==1.17.2
sphinx-remove-toctrees ==0.0.3
sphinx-sitemap ==2.2.0
sphinx-tabs ==3.4.0
sphinx-togglebutton ==0.2.3
sphinx-version-warning ==1.1.2
sphinxcontrib-applehelp ==1.0.4
sphinxcontrib-devhelp ==1.0.2
sphinxcontrib-htmlhelp ==2.0.1
sphinxcontrib-jsmath ==1.0.1
sphinxcontrib-qthelp ==1.0.3
sphinxcontrib-redoc ==1.6.0
sphinxcontrib-serializinghtml ==1.1.5
sphinxemoji ==0.2.0
sqlalchemy ==1.4.17
sqlparse ==0.4.4
sshpubkeys ==3.3.1
stack-data ==0.6.3
starlette ==0.27.0
statsmodels ==0.14.0
supersuit ==3.8.0
sympy ==1.12
tabulate ==0.9.0
tblib ==2.0.0
tenacity ==8.2.3
tensorboard ==2.11.2
tensorboard-data-server ==0.6.1
tensorboard-plugin-wit ==1.8.1
tensorboardx ==2.6
tensorflow ==2.11.0
tensorflow-datasets ==4.9.0
tensorflow-estimator ==2.11.0
tensorflow-io-gcs-filesystem ==0.34.0
tensorflow-metadata ==1.13.0
tensorflow-probability ==0.19.0
tensorstore ==0.1.45
termcolor ==2.3.0
terminado ==0.17.1
testfixtures ==7.0.0
tf-slim ==1.1.0
tf2onnx ==1.13.0
threadpoolctl ==3.1.0
tifffile ==2023.7.10
timm ==0.9.2
tinycss2 ==1.2.1
tinyscaler ==1.2.6
tokenizers ==0.12.1
toml ==0.10.2
tomli ==2.0.1
tomlkit ==0.12.1
toolz ==0.12.0
torch ==2.0.1
torch-cluster ==1.6.1
torch-geometric ==2.3.1
torch-scatter ==2.1.1
torch-sparse ==0.6.17
torch-spline-conv ==1.2.2
torchdata ==0.6.1
torchmetrics ==0.10.3
torchtext ==0.15.2
torchvision ==0.15.2
tornado ==6.1
tqdm ==4.64.1
traitlets ==5.11.2
transformers ==4.19.1
trustme ==0.9.0
typeguard ==2.13.3
typer ==0.9.0
types-python-dateutil ==2.8.19.14
types-pyyaml ==6.0.12.2
typing-extensions ==4.5.0
uc-micro-py ==1.0.2
ujson ==5.8.0
uri-template ==1.3.0
uritemplate ==4.1.1
urllib3 ==1.26.17
uvicorn ==0.22.0
uvloop ==0.17.0
virtualenv ==20.21.0
wandb ==0.13.4
watchfiles ==0.19.0
wcmatch ==8.5
wcwidth ==0.2.8
webcolors ==1.13
webencodings ==0.5.1
websocket-client ==1.6.3
websockets ==11.0.3
werkzeug ==2.1.2
wheel ==0.41.2
widgetsnbextension ==3.6.6
wrapt ==1.15.0
wurlitzer ==3.0.3
xgboost ==1.7.6
xlrd ==2.0.1
xmltodict ==0.13.0
xxhash ==3.4.1
y-py ==0.6.2
yarl ==1.9.2
ypy-websocket ==0.8.4
yq ==3.2.2
zict ==3.0.0
zipp ==3.17.0
zoopt ==0.4.1

python/setup.py pypi

Light *
aiosignal *
click *
filelock *
frozenlist *
jsonschema *
msgpack *
numpy *
packaging *
protobuf *
pyyaml *
requests *
typing_extensions *
we *

release/lightgbm_tests/requirements.txt pypi

lightgbm_ray * test
ray * test
xgboost_ray * test

release/ml_user_tests/horovod/driver_requirements.txt pypi

torch * test
torchvision * test

release/ml_user_tests/train/driver_requirements.txt pypi

tensorflow * test
torch * test

release/ml_user_tests/tune_rllib/driver_requirements.txt pypi

tblib * test
tensorflow * test
torch * test

release/ray_release/byod/requirements_byod_3.11.in pypi

release/ray_release/byod/requirements_byod_3.11.txt pypi

release/ray_release/byod/requirements_byod_3.8.in pypi

ale-py *
anyscale *
boto3 *
cmake *
crc32c *
cython *
gcsfs *
gsutil *
gym *
importlib-metadata *
lightgbm *
memray *
openskill *
petastorm *
protobuf *
pyarrow *
pytest *
requests >=2.31.0
scikit-learn *
scipy *
semidbm *
tblib *
tensorboardX *
tensorflow *
terminado *
tqdm *
trueskill *
typer *
wandb *
xarray *
xgboost *
zarr *

release/ray_release/byod/requirements_byod_3.8.txt pypi

164 dependencies

release/ray_release/byod/requirements_debian_byod.txt pypi

apt-transport-https *
ca-certificates *
curl *
gnupg *
google-cloud-sdk *
htop *
libaio1 *
libgl1-mesa-glx *
libglfw3 *
libjemalloc-dev *
libosmesa6-dev *
patchelf *
unzip *
zip *

release/ray_release/byod/requirements_ml_byod_3.8.in pypi

accelerate *
boto3 *
cmake *
crc32c *
cupy-cuda113 *
datasets *
deepspeed *
diffusers *
evaluate *
fastapi *
filelock *
gcsfs *
gsutil *
jupytext *
memray *
modin *
mosaicml-streaming *
numpy *
openskill *
petastorm *
pyarrow *
pytest *
pytorch_lightning *
scikit-learn *
semidbm *
tblib *
tensorboardX *
torch *
torchtext *
torchvision *
tqdm *
transformers *
trueskill *
typer *
typing-extensions *
urllib3 *
uvicorn *
validators *
wandb *
xgboost *

release/ray_release/byod/requirements_ml_byod_3.8.txt pypi

191 dependencies

release/ray_release/byod/requirements_ml_byod_3.9.in pypi

accelerate *
bitsandbytes *
dataset *
datasets *
decord *
deepspeed *
diffusers *
evaluate *
fairscale *
fastapi *
ipywidgets *
lm_eval *
matplotlib *
numpy *
openai-whisper *
protobuf *
pytorch-lightning *
sentencepiece *
statsforecast *
tiktoken *
torch *
torchaudio *
torchmetrics *
torchtext *
torchvision *
transformers >=4.31.0
typepy >=1.3.2
wandb *

release/ray_release/byod/requirements_ml_byod_3.9.txt pypi

196 dependencies

release/requirements.txt pypi

PyGithub *
anyscale *
boto3 *
click *
expiringdict *
google-cloud-storage *
jinja2 *
kubernetes *
protobuf >=3.15.3,
pybuildkite *
pydantic <1.10.0
python-dotenv *
pytz *
pyyaml *
requests *
retry *
slackclient *
toml *
typer *
xgboost_ray *

release/requirements_buildkite.in pypi

PyGithub *
anyscale *
bazel-runfiles *
boto3 *
click *
freezegun *
google-cloud-storage *
jinja2 *
protobuf >=3.15.3,
pybuildkite *
pydantic <1.10.0
pytest *
pyyaml *
requests *
retry *

release/requirements_buildkite.txt pypi

aiohttp ==3.8.4
aiosignal ==1.3.1
anyscale ==0.5.106
argon2-cffi ==21.3.0
argon2-cffi-bindings ==21.2.0
async-timeout ==4.0.2
asynctest ==0.13.0
attrs ==23.1.0
backports-zoneinfo ==0.2.1
bazel-runfiles ==0.21.0
boto3 ==1.26.131
botocore ==1.29.131
cachetools ==5.3.0
certifi ==2023.5.7
cffi ==1.15.1
charset-normalizer ==3.1.0
click ==8.1.3
colorama ==0.4.6
cryptography ==40.0.2
decorator ==5.1.1
deprecated ==1.2.13
exceptiongroup ==1.1.1
expiringdict ==1.2.2
freezegun ==1.2.2
frozenlist ==1.3.3
gitdb ==4.0.10
gitpython ==3.1.31
google-api-core ==2.11.0
google-auth ==2.17.3
google-cloud-core ==2.3.2
google-cloud-storage ==2.9.0
google-crc32c ==1.5.0
google-resumable-media ==2.5.0
googleapis-common-protos ==1.59.0
halo ==0.0.31
httplib2 ==0.22.0
humanize ==4.6.0
idna ==3.4
importlib-metadata ==6.6.0
importlib-resources ==5.12.0
iniconfig ==2.0.0
jinja2 ==3.1.2
jmespath ==1.0.1
jsonpatch ==1.32
jsonpointer ==2.3
jsonschema ==4.17.3
log-symbols ==0.0.14
markdown-it-py ==2.2.0
markupsafe ==2.1.2
mdurl ==0.1.2
multidict ==6.0.4
oauth2client ==4.1.3
packaging ==23.1
pathspec ==0.11.1
pkgutil-resolve-name ==1.3.10
pluggy ==1.0.0
protobuf ==4.23.2
py ==1.11.0
pyasn1 ==0.5.0
pyasn1-modules ==0.3.0
pybuildkite ==1.2.2
pycparser ==2.21
pydantic ==1.9.2
pygithub ==1.58.2
pygments ==2.15.1
pyjwt ==2.7.0
pynacl ==1.5.0
pyparsing ==3.0.9
pyrsistent ==0.19.3
pytest ==7.3.1
python-dateutil ==2.8.2
pyyaml ==6.0
requests ==2.31.0
retry ==0.9.2
rich ==13.3.5
rsa ==4.9
s3transfer ==0.6.1
six ==1.16.0
smart-open ==6.3.0
smmap ==5.0.0
spinners ==0.0.24
tabulate ==0.9.0
termcolor ==2.3.0
tomli ==2.0.1
tqdm ==4.65.0
typing-extensions ==4.6.2
tzlocal ==5.0.1
urllib3 ==1.26.16
wrapt ==1.15.0
yarl ==1.9.2
zipp ==3.15.0

release/setup.py pypi

ray >=1.9

rllib_contrib/a2c/pyproject.toml pypi

gym [accept-rom-license]
gymnasium [accept-rom-license, atari]==0.26.3
ray [rllib]==2.5.0

rllib_contrib/a2c/requirements.txt pypi

tensorflow ==2.11.0
torch ==1.12.0

rllib_contrib/a3c/pyproject.toml pypi

gym [accept-rom-license]
gymnasium [mujoco]==0.26.3
ray [rllib]==2.3.1

rllib_contrib/a3c/requirements.txt pypi

tensorflow ==2.11.0
torch ==1.12.0

rllib_contrib/alpha_star/pyproject.toml pypi

gym *
gymnasium ==0.26.3
open-spiel ==1.3
ray [rllib]==2.5.0

rllib_contrib/alpha_star/requirements.txt pypi

tensorflow ==2.11.0
torch ==1.12.0

rllib_contrib/alpha_zero/pyproject.toml pypi

gymnasium ==0.26.3
ray [rllib]==2.5.1

rllib_contrib/alpha_zero/requirements.txt pypi

torch ==1.12.0

rllib_contrib/apex_ddpg/pyproject.toml pypi

gymnasium [atari]
ray [rllib]==2.5.0

rllib_contrib/apex_ddpg/requirements.txt pypi

tensorflow ==2.11.0
torch ==1.12.0

rllib_contrib/apex_dqn/pyproject.toml pypi

gymnasium [atari]
ray [rllib]==2.5.0

rllib_contrib/apex_dqn/requirements.txt pypi

tensorflow ==2.11.0
torch ==1.12.0

rllib_contrib/ars/pyproject.toml pypi

gymnasium *
ray [rllib]==2.5.0

rllib_contrib/ars/requirements.txt pypi

tensorflow ==2.11.0
torch ==1.12.0

rllib_contrib/bandit/pyproject.toml pypi

gymnasium *
ray [rllib]==2.5.0
recsim *
tensorflow-probability ==0.20.1

rllib_contrib/bandit/requirements.txt pypi

tensorflow ==2.13.0
tensorflow-probability ==0.20.1
torch ==1.12.0

rllib_contrib/crr/pyproject.toml pypi

gymnasium *
ray [rllib]==2.5.0

rllib_contrib/crr/requirements.txt pypi

torch ==1.12.0

rllib_contrib/ddpg/pyproject.toml pypi

gymnasium ==0.26.3
ray [rllib]==2.5.0

rllib_contrib/ddpg/requirements.txt pypi

tensorflow ==2.13.0
torch ==1.13.1

rllib_contrib/ddppo/pyproject.toml pypi

gymnasium *
ray [rllib]==2.5.0

rllib_contrib/ddppo/requirements.txt pypi

torch ==1.12.0

rllib_contrib/dt/pyproject.toml pypi

gymnasium *
ray [rllib]==2.5.0

rllib_contrib/dt/requirements.txt pypi

torch ==1.12.0

rllib_contrib/es/pyproject.toml pypi

gymnasium *
ray [rllib]==2.5.0

rllib_contrib/es/requirements.txt pypi

tensorflow ==2.11.0
torch ==1.12.0

rllib_contrib/leela_chess_zero/pyproject.toml pypi

chess ==1.10.0
gymnasium ==0.26.3
pettingzoo ==1.22.4
pygame *
ray [rllib]==2.5.0

ray

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