https://github.com/pytorch/pytorch
autograd deep-learning gpu machine-learning neural-network numpy python tensor
Score: 38.77424801449732
Last synced: about 7 hours ago
JSON representation
Repository metadata:
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Host: GitHub
- URL: https://github.com/pytorch/pytorch
- Owner: pytorch
- License: other
- Created: 2016-08-13T05:26:41.000Z (over 9 years ago)
- Default Branch: main
- Last Pushed: 2026-01-29T08:29:20.000Z (8 days ago)
- Last Synced: 2026-01-29T08:37:35.962Z (8 days ago)
- Topics: autograd, deep-learning, gpu, machine-learning, neural-network, numpy, python, tensor
- Language: Python
- Homepage: https://pytorch.org
- Size: 1.14 GB
- Stars: 97,035
- Watchers: 1,772
- Forks: 26,677
- Open Issues: 17,979
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Codeowners: CODEOWNERS
- Security: SECURITY.md
- Notice: NOTICE
- Agents: AGENTS.md
Owner metadata:
- Name: pytorch
- Login: pytorch
- Email:
- Kind: organization
- Description:
- Website: https://pytorch.org
- Location: where the eigens are valued
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/21003710?v=4
- Repositories: 70
- Last Synced at: 2025-10-30T00:34:39.243Z
- Profile URL: https://github.com/pytorch
Committers metadata
Last synced: 2 days ago
Total Commits: 98,418
Total Committers: 5,127
Avg Commits per committer: 19.196
Development Distribution Score (DDS): 0.955
Commits in past year: 15,084
Committers in past year: 1,074
Avg Commits per committer in past year: 14.045
Development Distribution Score (DDS) in past year: 0.904
| Name | Commits | |
|---|---|---|
| PyTorch MergeBot | p****t | 4449 |
| Edward Yang | e****g@f****m | 3449 |
| Nikita Shulga | n****a@f****m | 2952 |
| Richard Zou | z****9@g****m | 1815 |
| Jerry Zhang | j****h@f****m | 1220 |
| cyy | c****r@o****m | 1179 |
| Gregory Chanan | g****n@f****m | 1081 |
| Animesh Jain | a****n@u****u | 923 |
| Peter Bell | p****0@l****k | 892 |
| Adam Paszke | a****e@g****m | 870 |
| Michael Suo | s****o@f****m | 812 |
| Horace He | c****i@f****m | 752 |
| Soumith Chintala | s****h@g****m | 745 |
| Jane Xu | j****x@f****m | 731 |
| Zachary DeVito | z****o@f****m | 730 |
| Rohan Varma | r****1@f****m | 684 |
| albanD | d****n@g****m | 675 |
| Scott Wolchok | s****k@f****m | 674 |
| Jason Ansel | j****l@m****m | 639 |
| Bin Bao | b****o@m****m | 621 |
| Huy Do | h****n@g****m | 613 |
| Wanchao Liang | w****l | 594 |
| Sam Gross | c****y@g****m | 594 |
| James Reed | j****d@f****m | 586 |
| Catherine Lee | c****l@f****m | 584 |
| eellison | e****n@g****m | 565 |
| Sebastian Messmer | m****r@f****m | 562 |
| Andrew Gu | a****u@f****m | 549 |
| angelayi | y****7@g****m | 542 |
| Brian Hirsh | h****r@f****m | 518 |
| and 5097 more... | ||
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 16,553
Total pull requests: 44,854
Average time to close issues: 5 months
Average time to close pull requests: 18 days
Total issue authors: 4,874
Total pull request authors: 2,672
Average comments per issue: 3.09
Average comments per pull request: 5.52
Merged pull request: 615
Bot issues: 3,128
Bot pull requests: 158
Past year issues: 4,502
Past year pull requests: 13,858
Past year average time to close issues: 19 days
Past year average time to close pull requests: 11 days
Past year issue authors: 1,490
Past year pull request authors: 1,145
Past year average comments per issue: 1.96
Past year average comments per pull request: 4.84
Past year merged pull request: 184
Past year bot issues: 916
Past year bot pull requests: 18
Top Issue Authors
- pytorch-bot[bot] (3,127)
- ezyang (391)
- zou3519 (354)
- malfet (199)
- atalman (182)
- hyperkai (163)
- huydhn (148)
- etaf (120)
- bdhirsh (116)
- zxd1997066 (114)
- justinchuby (93)
- anijain2305 (88)
- Chillee (85)
- jithunnair-amd (82)
- laithsakka (78)
Top Pull Request Authors
- malfet (1,337)
- cyyever (1,309)
- anijain2305 (1,067)
- ezyang (1,013)
- bobrenjc93 (797)
- zou3519 (619)
- XuehaiPan (602)
- jansel (573)
- desertfire (548)
- atalman (497)
- clee2000 (483)
- angelayi (481)
- laithsakka (456)
- mlazos (450)
- xmfan (423)
Top Issue Labels
- triaged (8,536)
- oncall: pt2 (4,059)
- skipped (3,484)
- module: flaky-tests (3,178)
- module: inductor (1,606)
- module: dynamo (1,001)
- oncall: distributed (825)
- module: rocm (715)
- high priority (636)
- module: onnx (526)
- module: functorch (469)
- module: cuda (440)
- module: dynamic shapes (359)
- module: ci (353)
- oncall: export (352)
- actionable (333)
- module: macos (311)
- module: pt2-dispatcher (293)
- module: docs (289)
- module: mps (283)
- module: nn (273)
- triage review (257)
- needs reproduction (232)
- module: fsdp (229)
- oncall: cpu inductor (221)
- module: build (196)
- module: xpu (188)
- module: windows (183)
- module: nestedtensor (182)
- module: regression (178)
Top Pull Request Labels
- ciflow/trunk (22,051)
- topic: not user facing (20,577)
- Merged (18,347)
- ciflow/inductor (16,730)
- merging (15,442)
- open source (14,014)
- module: inductor (9,466)
- module: dynamo (7,329)
- fb-exported (4,877)
- triaged (4,803)
- oncall: distributed (4,674)
- Stale (3,244)
- Reverted (2,405)
- module: cpu (1,774)
- ci-no-td (1,482)
- release notes: fx (1,444)
- release notes: distributed (c10d) (1,358)
- ciflow/mps (1,254)
- release notes: quantization (1,175)
- ciflow/rocm (1,107)
- module: rocm (986)
- ciflow/periodic (945)
- keep-going (922)
- release notes: dynamo (847)
- ciflow/xpu (832)
- topic: bug fixes (816)
- release notes: inductor (806)
- release notes: mps (742)
- fx (714)
- release notes: releng (673)
Package metadata
- Total packages: 20
-
Total downloads:
- pypi: 68,341,064 last-month
- Total docker downloads: 48,721,822
- Total dependent packages: 7,260 (may contain duplicates)
- Total dependent repositories: 98,290 (may contain duplicates)
- Total versions: 431
- Total maintainers: 10
- Total advisories: 7
pypi.org: torch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Homepage: https://pytorch.org
- Documentation: https://pytorch.org/docs
- Licenses: BSD-3-Clause
- Latest release: 2.10.0 (published 15 days ago)
- Last Synced: 2026-02-03T19:22:35.857Z (2 days ago)
- Versions: 48
- Dependent Packages: 6,944
- Dependent Repositories: 92,053
- Downloads: 68,340,306 Last month
- Docker Downloads: 48,721,822
-
Rankings:
- Dependent packages count: 0.003%
- Dependent repos count: 0.013%
- Stargazers count: 0.023%
- Forks count: 0.029%
- Downloads: 0.057%
- Average: 0.104%
- Docker downloads count: 0.499%
- Maintainers (5)
-
Advisories:
- PyTorch: `torch.load` with `weights_only=True` leads to remote code execution
- PyTorch Improper Resource Shutdown or Release vulnerability
- PyTorch susceptible to local Denial of Service
- Withdrawn Advisory: PyTorch deserialization vulnerability
- PyTorch heap buffer overflow vulnerability
- Pytorch use-after-free vulnerability
- PyTorch vulnerable to arbitrary code execution
conda-forge.org: pytorch
PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
- Homepage: https://pytorch.org/
- Licenses: BSD-3-Clause
- Latest release: 1.12.1 (published over 3 years ago)
- Last Synced: 2026-02-01T14:37:34.027Z (4 days ago)
- Versions: 11
- Dependent Packages: 254
- Dependent Repositories: 2,722
-
Rankings:
- Dependent repos count: 0.17%
- Average: 0.212%
- Dependent packages count: 0.255%
anaconda.org: pytorch
PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
- Homepage: https://pytorch.org/
- Licenses: BSD-3-Clause
- Latest release: 2.8.0 (published 24 days ago)
- Last Synced: 2026-01-29T17:14:10.570Z (7 days ago)
- Versions: 26
- Dependent Packages: 20
- Dependent Repositories: 2,722
-
Rankings:
- Stargazers count: 0.423%
- Forks count: 0.543%
- Average: 0.989%
- Dependent repos count: 1.027%
- Dependent packages count: 1.963%
proxy.golang.org: github.com/pytorch/pytorch
- Homepage:
- Documentation: https://pkg.go.dev/github.com/pytorch/pytorch#section-documentation
- Licenses: other
- Latest release: v2.8.0+incompatible (published 6 months ago)
- Last Synced: 2025-09-21T00:17:27.720Z (5 months ago)
- Versions: 240
- Dependent Packages: 0
- Dependent Repositories: 1
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Rankings:
- Forks count: 0.009%
- Stargazers count: 0.011%
- Average: 3.572%
- Dependent repos count: 4.706%
- Dependent packages count: 9.561%
pypi.org: pytorch-gpu
torch-gpu
- Homepage: https://github.com/pytorch/pytorch
- Documentation: https://pytorch-gpu.readthedocs.io/
- Licenses: MIT
- Latest release: 0.0.1 (published over 3 years ago)
- Last Synced: 2026-02-03T08:32:48.735Z (3 days ago)
- Versions: 1
- Dependent Packages: 2
- Dependent Repositories: 11
- Downloads: 704 Last month
-
Rankings:
- Stargazers count: 0.005%
- Forks count: 0.008%
- Average: 3.766%
- Dependent repos count: 4.363%
- Dependent packages count: 4.798%
- Downloads: 9.654%
- Maintainers (1)
repo1.maven.org: org.pytorch:pytorch_android_lite
pytorch_android_lite pytorch android api
- Homepage: https://github.com/pytorch/pytorch/tree/master/android
- Documentation: https://appdoc.app/artifact/org.pytorch/pytorch_android_lite/
- Licenses: other
- Latest release: 2.1.0 (published over 2 years ago)
- Last Synced: 2026-02-04T04:11:27.597Z (2 days ago)
- Versions: 9
- Dependent Packages: 5
- Dependent Repositories: 48
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Rankings:
- Stargazers count: 0.322%
- Forks count: 0.504%
- Dependent repos count: 3.147%
- Average: 3.865%
- Dependent packages count: 11.485%
repo1.maven.org: org.pytorch:pytorch_android
pytorch_android pytorch android api
- Homepage: https://github.com/pytorch/pytorch/tree/master/android
- Documentation: https://appdoc.app/artifact/org.pytorch/pytorch_android/
- Licenses: other
- Latest release: 2.1.0 (published over 2 years ago)
- Last Synced: 2026-02-04T04:13:26.289Z (2 days ago)
- Versions: 12
- Dependent Packages: 4
- Dependent Repositories: 287
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Rankings:
- Stargazers count: 0.323%
- Forks count: 0.504%
- Dependent repos count: 0.901%
- Average: 3.914%
- Dependent packages count: 13.926%
repo1.maven.org: org.pytorch:pytorch_java_only
pytorch_java_only pytorch java api
- Homepage: https://github.com/pytorch/pytorch/tree/master/android
- Documentation: https://appdoc.app/artifact/org.pytorch/pytorch_java_only/
- Licenses: other
- Latest release: 2.1.0 (published over 2 years ago)
- Last Synced: 2026-02-03T08:34:33.900Z (3 days ago)
- Versions: 11
- Dependent Packages: 6
- Dependent Repositories: 12
-
Rankings:
- Stargazers count: 0.323%
- Forks count: 0.504%
- Average: 4.4%
- Dependent repos count: 7.06%
- Dependent packages count: 9.712%
conda-forge.org: pytorch-cpu
PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
- Homepage: https://pytorch.org/
- Licenses: BSD-3-Clause
- Latest release: 1.12.1 (published over 3 years ago)
- Last Synced: 2026-02-03T08:36:11.737Z (3 days ago)
- Versions: 14
- Dependent Packages: 14
- Dependent Repositories: 50
-
Rankings:
- Dependent packages count: 4.471%
- Average: 4.756%
- Dependent repos count: 5.04%
repo1.maven.org: org.pytorch:pytorch_android_torchvision
pytorch_android_torchvision
- Homepage: https://github.com/pytorch/pytorch/tree/master/android
- Documentation: https://appdoc.app/artifact/org.pytorch/pytorch_android_torchvision/
- Licenses: other
- Latest release: 2.1.0 (published over 2 years ago)
- Last Synced: 2026-02-04T04:15:44.487Z (2 days ago)
- Versions: 11
- Dependent Packages: 2
- Dependent Repositories: 271
-
Rankings:
- Stargazers count: 0.322%
- Forks count: 0.504%
- Dependent repos count: 0.942%
- Average: 6.231%
- Dependent packages count: 23.158%
repo1.maven.org: org.pytorch:pytorch_android_torchvision_lite
pytorch_android_torchvision_lite
- Homepage: https://github.com/pytorch/pytorch/tree/master/android
- Documentation: https://appdoc.app/artifact/org.pytorch/pytorch_android_torchvision_lite/
- Licenses: other
- Latest release: 2.1.0 (published over 2 years ago)
- Last Synced: 2026-02-04T04:15:58.224Z (2 days ago)
- Versions: 8
- Dependent Packages: 2
- Dependent Repositories: 26
-
Rankings:
- Stargazers count: 0.323%
- Forks count: 0.504%
- Dependent repos count: 4.635%
- Average: 7.155%
- Dependent packages count: 23.158%
conda-forge.org: pytorch-gpu
PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
- Homepage: https://pytorch.org/
- Licenses: BSD-3-Clause
- Latest release: 1.12.1 (published over 3 years ago)
- Last Synced: 2026-02-01T14:33:10.411Z (4 days ago)
- Versions: 11
- Dependent Packages: 7
- Dependent Repositories: 18
-
Rankings:
- Dependent packages count: 8.009%
- Average: 8.179%
- Dependent repos count: 8.349%
anaconda.org: pytorch-cpu
PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
- Homepage: https://pytorch.org/
- Licenses: BSD-3-Clause
- Latest release: 2.7.0 (published 3 months ago)
- Last Synced: 2026-01-04T15:09:16.262Z (about 1 month ago)
- Versions: 9
- Dependent Packages: 0
- Dependent Repositories: 50
-
Rankings:
- Stargazers count: 0.242%
- Forks count: 0.423%
- Average: 19.071%
- Dependent repos count: 24.426%
- Dependent packages count: 51.193%
anaconda.org: pytorch-gpu
PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
- Homepage: https://pytorch.org/
- Licenses: BSD-3-Clause
- Latest release: 2.8.0 (published 24 days ago)
- Last Synced: 2026-02-04T04:13:56.311Z (2 days ago)
- Versions: 10
- Dependent Packages: 0
- Dependent Repositories: 18
-
Rankings:
- Stargazers count: 0.242%
- Forks count: 0.423%
- Average: 21.215%
- Dependent repos count: 33.001%
- Dependent packages count: 51.193%
pypi.org: torch-cpp
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Homepage: https://pytorch.org/
- Documentation: https://torch-cpp.readthedocs.io/
- Licenses: BSD-3
- Latest release: 0.1.0 (published over 1 year ago)
- Last Synced: 2026-02-04T04:10:29.633Z (2 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 17 Last month
-
Rankings:
- Dependent packages count: 10.649%
- Average: 35.309%
- Dependent repos count: 59.97%
- Maintainers (1)
pypi.org: pytorch-riscv64
Tensors and Dynamic neural networks in Python
- Homepage: https://pytorch.org/
- Documentation: https://pytorch-riscv64.readthedocs.io/
- Licenses: BSD-3
- Latest release: 2.3.0a1 (published over 1 year ago)
- Last Synced: 2026-02-04T04:10:50.093Z (2 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 21 Last month
-
Rankings:
- Dependent packages count: 10.706%
- Average: 35.5%
- Dependent repos count: 60.294%
- Maintainers (1)
pypi.org: torch-abi
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Homepage: https://pytorch.org/
- Documentation: https://torch-abi.readthedocs.io/
- Licenses: BSD-3
- Latest release: 1.13.0a0 (published over 1 year ago)
- Last Synced: 2026-02-04T04:13:16.881Z (2 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 11 Last month
-
Rankings:
- Dependent packages count: 10.954%
- Average: 36.317%
- Dependent repos count: 61.68%
- Maintainers (1)
pypi.org: torch-sas
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Homepage: https://pytorch.org/
- Status: removed
- Documentation: https://torch-sas.readthedocs.io/
- Licenses: BSD-3
- Latest release: 1.13.0a0 (published over 1 year ago)
- Last Synced: 2026-02-04T04:16:25.611Z (2 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 10.954%
- Average: 36.317%
- Dependent repos count: 61.68%
- Maintainers (1)
pypi.org: rpi-torch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Homepage: https://pytorch.org/
- Documentation: https://rpi-torch.readthedocs.io/
- Licenses: BSD-3
- Latest release: 1.5.0 (published over 4 years ago)
- Last Synced: 2026-02-04T04:14:30.023Z (2 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 5 Last month
-
Rankings:
- Dependent packages count: 9.682%
- Dependent repos count: 21.869%
- Average: 36.606%
- Downloads: 78.266%
- Maintainers (1)
anaconda.org: libtorch
PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.
- Homepage: https://pytorch.org/
- Licenses: BSD-3-Clause
- Latest release: 2.8.0 (published 24 days ago)
- Last Synced: 2026-02-04T04:12:02.935Z (2 days ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent packages count: 46.531%
- Average: 48.844%
- Dependent repos count: 51.156%
Dependencies
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- com.facebook.soloader:nativeloader 0.10.1 implementation
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- com.facebook.soloader:nativeloader 0.10.1 implementation
- enum34 *
- numpy *
- pyyaml *
- requests *
- Jinja2 ==3.0.
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- bs4 *
- docutils ==0.16
- exhale ==0.2.3
- lxml *
- six *
- sphinx ==3.1.2
- matplotlib *
- python-etcd >=0.4.5
- sphinx ==5.0.0
- sphinx-panels *
- sphinx_copybutton *
- sphinxcontrib.katex *
- tensorboard *
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