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https://github.com/Dao-AILab/flash-attention

Score: 29.668073443613654

Last synced: 1 day ago
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Repository metadata:

Fast and memory-efficient exact attention


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 2 days ago

Total Commits: 1,577
Total Committers: 219
Avg Commits per committer: 7.201
Development Distribution Score (DDS): 0.413

Commits in past year: 488
Committers in past year: 98
Avg Commits per committer in past year: 4.98
Development Distribution Score (DDS) in past year: 0.742

Name Email Commits
Tri Dao t****q@g****m 926
Driss Guessous 3****g 92
Johnsonms l****u@g****m 35
jayhshah j****h@g****m 32
Pierce Freeman p****n@g****m 25
Reuben Stern 1****s 23
Henry Tsang h****g@m****m 21
Guilherme Leobas g****s@g****m 18
rocking C****i@a****m 15
Kirthi Shankar Sivamani k****i@n****m 15
Ying Zhang y****z@m****m 12
Dan Fu d****9@g****m 11
Michael Melesse m****e@g****m 9
Lequn Chen l****n@p****i 9
Johnny j****4@g****m 9
dan_the_3rd 4****d 7
Yunwei Li y****3@g****m 7
Alkaid g****o@m****m 6
oliver könig o****g@n****m 6
Jean-Luc Duprat j****d@a****g 5
Jane (Yuan) Xu 3****9 5
liangel-02 l****l@m****m 5
Markus Hoehnerbach m****h@m****m 5
Ted Zadouri t****i@g****m 5
timmy-feng 7****g 5
Aman Gupta Karmani a****n@t****t 5
Xuechen Li 1****n 4
Grigory Sizov g****v@f****m 4
NanoCode012 n****o@a****i 4
Phil Wang l****s@g****m 4
and 189 more...

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 1,063
Total pull requests: 771
Average time to close issues: 30 days
Average time to close pull requests: 19 days
Total issue authors: 846
Total pull request authors: 311
Average comments per issue: 2.19
Average comments per pull request: 1.21
Merged pull request: 307
Bot issues: 0
Bot pull requests: 0

Past year issues: 94
Past year pull requests: 394
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 20 days
Past year issue authors: 80
Past year pull request authors: 148
Past year average comments per issue: 2.38
Past year average comments per pull request: 1.15
Past year merged pull request: 108
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/Dao-AILab/flash-attention

Top Issue Authors

  • ziyuhuang123 (33)
  • phantaurus (10)
  • complexfilter (8)
  • endurehero (6)
  • FurkanGozukara (6)
  • TyGu1 (5)
  • gaodaheng (5)
  • DefTruth (5)
  • goldhuang (5)
  • janelu9 (5)
  • DianCh (4)
  • eric-tc-wong (4)
  • ArtificialZeng (4)
  • Johnsonms (4)
  • foreverpiano (4)

Top Pull Request Authors

  • drisspg (122)
  • Johnsonms (24)
  • rocking5566 (20)
  • imitater-dou (19)
  • johnnynunez (14)
  • guoriyue (13)
  • ipiszy (11)
  • yunweili3 (11)
  • ksivaman (10)
  • LucasWilkinson (9)
  • jayhshah (8)
  • reubenconducts (7)
  • micmelesse (7)
  • abcdabcd987 (7)
  • NanoCode012 (6)

Top Issue Labels

Top Pull Request Labels

  • size/M (1)
  • bug (1)
  • cla:yes (1)

Package metadata

pypi.org: flash-attn

Flash Attention: Fast and Memory-Efficient Exact Attention

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://flash-attn.readthedocs.io/
  • Licenses: BSD License
  • Latest release: 2.8.3.post2 (published 20 days ago)
  • Last Synced: 2026-10-31T17:39:35.383Z (2 days ago)
  • Versions: 79
  • Dependent Packages: 44
  • Dependent Repositories: 317
  • Downloads: 292,988 Last month
  • Docker Downloads: 120,271
  • Rankings:
    • Stargazers count: 0.335%
    • Dependent packages count: 0.475%
    • Dependent repos count: 0.836%
    • Downloads: 0.894%
    • Average: 1.371%
    • Forks count: 2.111%
    • Docker downloads count: 3.575%
  • Maintainers (1)
proxy.golang.org: github.com/Dao-AILab/flash-attention

proxy.golang.org: github.com/dao-ailab/flash-attention

pypi.org: pi-flash-attn

Flash Attention: Fast and Memory-Efficient Exact Attention

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://pi-flash-attn.readthedocs.io/
  • Licenses: BSD License
  • Latest release: 2.8.2 (published about 1 year ago)
  • Last Synced: 2026-10-31T17:39:10.783Z (2 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 4 Last month
  • Rankings:
    • Stargazers count: 0.482%
    • Forks count: 0.771%
    • Dependent packages count: 8.696%
    • Average: 14.739%
    • Dependent repos count: 49.007%
  • Maintainers (1)
pypi.org: flash-attn-wheels-test

Flash Attention: Fast and Memory-Efficient Exact Attention

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://flash-attn-wheels-test.readthedocs.io/
  • Licenses: BSD License
  • Latest release: 2.0.8.post17 (published about 3 years ago)
  • Last Synced: 2026-10-31T17:38:26.209Z (2 days ago)
  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 41 Last month
  • Rankings:
    • Stargazers count: 0.36%
    • Forks count: 2.344%
    • Dependent packages count: 7.565%
    • Average: 19.918%
    • Dependent repos count: 69.402%
  • Maintainers (1)
pypi.org: fa4

Flash Attention CUTE (CUDA Template Engine) implementation

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://fa4.readthedocs.io/
  • Licenses: BSD 3-Clause License
  • Latest release: 4.0.0b3 (published 8 months ago)
  • Last Synced: 2026-10-31T17:38:42.896Z (2 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 28 Last month
  • Rankings:
    • Dependent packages count: 7.716%
    • Average: 25.672%
    • Dependent repos count: 43.628%
  • Maintainers (1)
pypi.org: sgl-fa4

Flash Attention CUTE (CUDA Template Engine) implementation

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://sgl-fa4.readthedocs.io/
  • Licenses: BSD 3-Clause License
  • Latest release: 4.0.5 (published 8 months ago)
  • Last Synced: 2026-10-31T17:38:00.911Z (2 days ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 40,421 Last month
  • Rankings:
    • Dependent packages count: 7.729%
    • Average: 25.717%
    • Dependent repos count: 43.704%
  • Maintainers (2)
pypi.org: tokenspeed-fa4

Flash Attention CUTE (CUDA Template Engine) implementation

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://tokenspeed-fa4.readthedocs.io/
  • Licenses: BSD 3-Clause License
  • Latest release: 4.0.0.post20260923 (published about 1 month ago)
  • Last Synced: 2026-10-31T17:38:43.435Z (2 days ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 1,989 Last month
  • Rankings:
    • Dependent packages count: 7.555%
    • Average: 25.857%
    • Downloads: 27.293%
    • Dependent repos count: 42.723%
  • Maintainers (1)
pypi.org: flash-attn-4

Flash Attention CUTE (CUDA Template Engine) implementation

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://flash-attn-4.readthedocs.io/
  • Licenses: BSD 3-Clause License
  • Latest release: 4.0.0b37 (published 6 days ago)
  • Last Synced: 2026-10-31T17:39:44.902Z (2 days ago)
  • Versions: 35
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 859,207 Last month
  • Rankings:
    • Dependent packages count: 7.872%
    • Average: 26.189%
    • Dependent repos count: 44.505%
  • Maintainers (2)
pypi.org: qifa

flash-attn quick installer

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://qifa.readthedocs.io/
  • Licenses: BSD-3-Clause
  • Latest release: 0.1.1 (published 11 months ago)
  • Last Synced: 2026-10-31T17:39:35.190Z (2 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 13 Last month
  • Rankings:
    • Dependent packages count: 8.34%
    • Average: 27.74%
    • Dependent repos count: 47.14%
  • Maintainers (1)
pypi.org: crossing-flash-attn

Flash Attention: Fast and Memory-Efficient Exact Attention

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://crossing-flash-attn.readthedocs.io/
  • Licenses: BSD License
  • Latest release: 2.6.3 (published about 2 years ago)
  • Last Synced: 2026-10-31T17:40:03.040Z (2 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 10.467%
    • Average: 34.696%
    • Dependent repos count: 58.925%
  • Maintainers (1)
pypi.org: hstu-attn

HSTU Attention: The HSTU structure mainly serves generative recommendation

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Documentation: https://hstu-attn.readthedocs.io/
  • Licenses: BSD License
  • Latest release: 2.5.9.post1 (published over 2 years ago)
  • Last Synced: 2026-10-31T17:39:51.016Z (2 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 10.542%
    • Average: 34.954%
    • Dependent repos count: 59.365%
  • Maintainers (1)
anaconda.org: flash-attn

FlashAttention is a fast and memory-efficient implementation of the exact attention mechanism for Transformer models. It supports Ampere, Ada Lovelace, Hopper, and Blackwell NVIDIA GPUs with fp16/bf16 precision.

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Licenses: BSD-3-Clause
  • Latest release: 2.8.3 (published 8 months ago)
  • Last Synced: 2026-06-23T15:01:31.411Z (4 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 121 Total
  • Rankings:
    • Dependent packages count: 38.177%
    • Average: 41.173%
    • Dependent repos count: 41.627%
    • Downloads: 43.716%
anaconda.org: flash-attn-layer-norm

FlashAttention is a fast and memory-efficient implementation of the exact attention mechanism for Transformer models. It supports Ampere, Ada Lovelace, Hopper, and Blackwell NVIDIA GPUs with fp16/bf16 precision.

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Licenses: BSD-3-Clause
  • Latest release: 2.8.3 (published 8 months ago)
  • Last Synced: 2026-07-27T23:01:27.198Z (3 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 28 Total
  • Rankings:
    • Dependent packages count: 38.177%
    • Average: 41.173%
    • Dependent repos count: 41.627%
    • Downloads: 43.716%
anaconda.org: flash-attn-fused-dense

FlashAttention is a fast and memory-efficient implementation of the exact attention mechanism for Transformer models. It supports Ampere, Ada Lovelace, Hopper, and Blackwell NVIDIA GPUs with fp16/bf16 precision.

  • Homepage: https://github.com/Dao-AILab/flash-attention
  • Licenses: BSD-3-Clause
  • Latest release: 2.8.3 (published 8 months ago)
  • Last Synced: 2026-07-27T23:01:27.501Z (3 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 28 Total
  • Rankings:
    • Dependent packages count: 38.177%
    • Average: 41.173%
    • Dependent repos count: 41.627%
    • Downloads: 43.716%
nixpkgs-unstable: python313Packages.flash-attn-4

CuTeDSL-based implementation of FlashAttention for Hopper and Blackwell GPUs

nixpkgs-unstable: python313Packages.flash-attn

Official implementation of FlashAttention and FlashAttention-2

nixpkgs-unstable: python313Packages.flash-attn-3

Official implementation of FlashAttention-3

nixpkgs-unstable: python314Packages.flash-attn-4

CuTeDSL-based implementation of FlashAttention for Hopper and Blackwell GPUs

nixpkgs-unstable: python314Packages.flash-attn-3

Official implementation of FlashAttention-3

nixpkgs-unstable: python314Packages.flash-attn

Official implementation of FlashAttention and FlashAttention-2


Dependencies

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training/Dockerfile docker
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csrc/fused_dense_lib/setup.py pypi
csrc/layer_norm/setup.py pypi
flash_attn/pyproject.toml pypi
setup.py pypi
  • einops *
  • ninja *
  • packaging *
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tests/pyproject.toml pypi
flash_attn/cute/pyproject.toml pypi
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hopper/setup.py pypi
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