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PaddlePaddle/FastDeploy

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⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

active 2023-08-15 → 2026-09-24 (UTC)

Complete coverage28,407 / 28,407 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-10 (UTC)
Events
21.5K
Pushes
3.6K
Pull requests
3.7K
Issues
1.2K
Stars
1.3K
Forks
258

Activity over time

Daily event counts in the loaded window

Line chart, 1137 days from 2023-08-15 to 2026-09-24. Pushes: 3,570 total, peak 44 in a day. Pull requests: 3,651 total, peak 47 in a day. Issues: 1,162 total, peak 159 in a day. Comments: 7,377 total, peak 241 in a day. Stars: 1,306 total, peak 53 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
paddle-bot[bot]2.5K02321.8K
Copilot1.8K67731.3K
Jiang-Jia-Jun1.8K779397183
github-actions[bot]1.3K1.3K80
yuanlehome823166106181
EmmonsCurse67827720233
codecov-commenter51300513
gongshaotian5113971178
jiangjiajun4816944207
PaddlePaddle-bot43300236
fastdeploy-bot37500204
rainyfly33725127117
CLAassistant29400294
zhoutianzi666245769116
YuanRisheng232306948
freeliuzc205316728
qingqing01199512039
bukejiyu17986554
plusNew00117681656
lizexu12317535855

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,306 stars here means stars gained during the window, not the repo's star count.