pandas-dev
pandas-dev's public repositories have earned 52,221 GitHub stars since 2011, 58 of them in the last 90 days, across 16 tracked repositories.
- Stars
52k
across 16 tracked repos
- Last 30 days
+36
new stars
- Last 90 days
+58
slowing against the lifetime pace
- Commits
—
awaiting analysis
- Forks
21k
across owned repos
- First commit
2011
earliest tracked year
Star history
Summed across 16 public repositories
52,221 stars on September 14, 2026.
| Date | stars |
|---|---|
| February 20, 2011 | 1 |
| July 17, 2011 | 29 |
| August 12, 2011 | 55 |
| September 20, 2011 | 119 |
| October 26, 2011 | 166 |
| November 23, 2011 | 184 |
| January 6, 2012 | 242 |
| February 15, 2012 | 355 |
| February 29, 2012 | 374 |
| October 11, 2012 | 459 |
| November 7, 2012 | 531 |
| November 25, 2012 | 582 |
| December 23, 2012 | 660 |
| January 24, 2013 | 741 |
| February 6, 2013 | 777 |
| March 4, 2013 | 853 |
| March 31, 2013 | 977 |
| April 13, 2013 | 1,024 |
| May 9, 2013 | 1,088 |
| June 6, 2013 | 1,167 |
| June 21, 2013 | 1,201 |
| July 19, 2013 | 1,289 |
| August 16, 2013 | 1,369 |
| August 31, 2013 | 1,417 |
| September 28, 2013 | 1,576 |
| October 24, 2013 | 1,711 |
| November 7, 2013 | 1,770 |
| December 3, 2013 | 1,901 |
| January 2, 2014 | 2,003 |
| January 16, 2014 | 2,046 |
| February 10, 2014 | 2,177 |
| March 8, 2014 | 2,289 |
| March 22, 2014 | 2,344 |
| April 16, 2014 | 2,441 |
| May 13, 2014 | 2,547 |
| May 26, 2014 | 2,598 |
| June 23, 2014 | 2,701 |
| July 19, 2014 | 2,800 |
| August 1, 2014 | 2,850 |
| August 28, 2014 | 2,935 |
| September 23, 2014 | 3,020 |
| October 8, 2014 | 3,090 |
| November 3, 2014 | 3,209 |
| November 30, 2014 | 3,327 |
| December 13, 2014 | 3,413 |
| January 8, 2015 | 3,529 |
| February 3, 2015 | 3,655 |
| February 16, 2015 | 3,728 |
| March 13, 2015 | 3,857 |
| April 8, 2015 | 3,984 |
| April 20, 2015 | 4,041 |
| May 16, 2015 | 4,152 |
| June 10, 2015 | 4,270 |
| June 23, 2015 | 4,333 |
| July 19, 2015 | 4,454 |
| August 13, 2015 | 4,597 |
| August 27, 2015 | 4,663 |
| September 21, 2015 | 4,804 |
| October 17, 2015 | 4,964 |
| October 30, 2015 | 5,040 |
| November 24, 2015 | 5,179 |
| December 20, 2015 | 5,338 |
| January 17, 2016 | 5,456 |
| January 30, 2016 | 5,540 |
| February 24, 2016 | 5,688 |
| March 21, 2016 | 5,853 |
| April 3, 2016 | 5,950 |
| April 28, 2016 | 6,128 |
| May 24, 2016 | 6,318 |
| June 6, 2016 | 6,425 |
| July 1, 2016 | 6,583 |
| July 27, 2016 | 6,776 |
| August 8, 2016 | 6,852 |
| September 3, 2016 | 7,036 |
| September 28, 2016 | 7,192 |
| October 11, 2016 | 7,298 |
| November 6, 2016 | 7,499 |
| December 1, 2016 | 7,680 |
| December 14, 2016 | 7,764 |
| January 8, 2017 | 8,256 |
| February 3, 2017 | 8,643 |
| February 16, 2017 | 8,772 |
| March 13, 2017 | 9,102 |
| April 8, 2017 | 9,502 |
| April 20, 2017 | 9,668 |
| May 16, 2017 | 9,969 |
| June 10, 2017 | 10,244 |
| June 23, 2017 | 10,368 |
| July 19, 2017 | 10,734 |
| August 13, 2017 | 10,989 |
| August 26, 2017 | 11,119 |
| September 21, 2017 | 11,443 |
| October 16, 2017 | 11,769 |
| October 29, 2017 | 12,001 |
| November 23, 2017 | 12,395 |
| December 19, 2017 | 12,750 |
| January 1, 2018 | 12,953 |
| January 26, 2018 | 13,349 |
| February 21, 2018 | 13,714 |
| March 5, 2018 | 13,928 |
| March 31, 2018 | 14,431 |
| April 26, 2018 | 14,752 |
| May 9, 2018 | 14,950 |
| June 4, 2018 | 15,312 |
| June 29, 2018 | 15,675 |
| July 12, 2018 | 15,838 |
| August 6, 2018 | 16,203 |
| September 1, 2018 | 16,614 |
| September 14, 2018 | 16,787 |
| October 9, 2018 | 17,128 |
| November 4, 2018 | 17,533 |
| November 17, 2018 | 17,707 |
| December 12, 2018 | 18,115 |
| January 7, 2019 | 18,473 |
| January 19, 2019 | 18,615 |
| February 14, 2019 | 18,965 |
| March 11, 2019 | 19,359 |
| March 24, 2019 | 19,557 |
| April 19, 2019 | 20,056 |
| May 14, 2019 | 20,535 |
| May 27, 2019 | 20,754 |
| June 21, 2019 | 21,121 |
| July 17, 2019 | 21,537 |
| July 30, 2019 | 21,751 |
| August 24, 2019 | 22,170 |
| September 19, 2019 | 22,611 |
| October 1, 2019 | 22,787 |
| October 27, 2019 | 23,328 |
| November 21, 2019 | 23,788 |
| December 4, 2019 | 23,970 |
| December 30, 2019 | 24,319 |
| January 24, 2020 | 24,702 |
| February 6, 2020 | 24,978 |
| March 3, 2020 | 25,439 |
| March 28, 2020 | 25,821 |
| April 10, 2020 | 26,058 |
| May 5, 2020 | 26,564 |
| May 31, 2020 | 27,057 |
| June 13, 2020 | 27,269 |
| July 8, 2020 | 27,636 |
| August 3, 2020 | 28,031 |
| August 15, 2020 | 28,206 |
| September 11, 2020 | 28,561 |
| October 6, 2020 | 28,918 |
| October 19, 2020 | 29,100 |
| November 14, 2020 | 29,451 |
| December 9, 2020 | 29,847 |
| December 22, 2020 | 30,048 |
| January 16, 2021 | 30,435 |
| February 11, 2021 | 30,880 |
| February 24, 2021 | 31,064 |
| March 21, 2021 | 31,360 |
| April 16, 2021 | 31,890 |
| April 29, 2021 | 32,060 |
| May 27, 2021 | 32,380 |
| June 22, 2021 | 32,684 |
| July 4, 2021 | 32,835 |
| July 30, 2021 | 33,166 |
| August 24, 2021 | 33,500 |
| September 9, 2021 | 33,649 |
| October 5, 2021 | 33,946 |
| November 4, 2021 | 34,128 |
| November 17, 2021 | 34,293 |
| December 12, 2021 | 34,620 |
| January 7, 2022 | 34,956 |
| January 20, 2022 | 35,151 |
| February 14, 2022 | 35,531 |
| March 12, 2022 | 35,858 |
| March 24, 2022 | 36,007 |
| April 19, 2022 | 36,372 |
| May 14, 2022 | 36,850 |
| May 27, 2022 | 37,014 |
| June 22, 2022 | 37,321 |
| July 17, 2022 | 37,607 |
| July 30, 2022 | 37,783 |
| August 25, 2022 | 38,154 |
| September 19, 2022 | 38,458 |
| October 2, 2022 | 38,662 |
| October 27, 2022 | 39,010 |
| November 22, 2022 | 39,351 |
| December 17, 2022 | 39,624 |
| December 30, 2022 | 39,750 |
| January 25, 2023 | 40,058 |
| February 19, 2023 | 40,394 |
| March 4, 2023 | 40,585 |
| March 29, 2023 | 40,997 |
| April 24, 2023 | 41,631 |
| May 7, 2023 | 41,830 |
| June 1, 2023 | 42,191 |
| June 27, 2023 | 42,503 |
| July 9, 2023 | 42,639 |
| August 4, 2023 | 42,957 |
| August 29, 2023 | 43,310 |
| September 11, 2023 | 43,447 |
| October 7, 2023 | 43,788 |
| November 1, 2023 | 44,074 |
| November 14, 2023 | 44,231 |
| December 10, 2023 | 44,519 |
| January 4, 2024 | 44,815 |
| January 17, 2024 | 44,976 |
| February 11, 2024 | 45,281 |
| March 8, 2024 | 45,612 |
| March 21, 2024 | 45,822 |
| April 15, 2024 | 46,134 |
| May 11, 2024 | 46,405 |
| May 23, 2024 | 46,540 |
| June 18, 2024 | 46,822 |
| July 13, 2024 | 47,148 |
| July 26, 2024 | 47,309 |
| August 21, 2024 | 47,584 |
| September 15, 2024 | 47,882 |
| September 28, 2024 | 48,039 |
| October 23, 2024 | 48,306 |
| November 18, 2024 | 48,590 |
| December 1, 2024 | 48,714 |
| December 26, 2024 | 48,950 |
| January 21, 2025 | 49,232 |
| February 2, 2025 | 49,366 |
| February 28, 2025 | 49,664 |
| March 26, 2025 | 49,931 |
| April 7, 2025 | 50,032 |
| May 3, 2025 | 50,331 |
| May 28, 2025 | 50,555 |
| June 10, 2025 | 50,648 |
| July 6, 2025 | 50,799 |
| July 31, 2025 | 51,004 |
| August 13, 2025 | 51,093 |
| September 7, 2025 | 51,264 |
| October 4, 2025 | 51,406 |
| October 23, 2025 | 51,468 |
| November 18, 2025 | 51,568 |
| December 16, 2025 | 51,676 |
| December 28, 2025 | 51,729 |
| January 23, 2026 | 51,840 |
| February 19, 2026 | 51,942 |
| March 4, 2026 | 51,997 |
| April 3, 2026 | 52,068 |
| May 2, 2026 | 52,136 |
| May 21, 2026 | 52,163 |
| September 14, 2026 | 52,221 |
Top repositories
leaderboard- pandas-dev/pandas49,732 stars · 20,377 forks · 38,986 commits
- pandas-dev/pandas-stubs327 stars · 187 forks · 1,196 commits
- pandas-dev/pandas-governance36 stars · 5 forks · 30 commits
- pandas-dev/pandas-msgpack25 stars · 19 forks · 59 commits
- pandas-dev/pandas-dev-flaker10 stars · 6 forks · 154 commits
- pandas-dev/pandas-user-surveys9 stars · 4 forks · 1 commits
- pandas-dev/pandas-blog8 stars · 28 commits
- pandas-dev/pandas-release8 stars · 8 forks · 100 commits
Each trace uses complete cumulative history only. A repository still being read shows its current GitHub totals without one.
Code signals
13 analyzed of 16 repos
Aggregated from cached git history across the public repositories pandas-dev owns. Every drawing below is embeddable.
Lines of code by language across every analyzed repo you own.
Every commit landed in the last 52 weeks, summed across owned repos.
Maintenance footprint
Bot authors excluded
- Solo-carried
10
of 13 scored repos, one person holds over half the commits
- Shared
3
more than one author needed to reach half the commits
- Commits 52w
2.9k
landed across owned repos in the last 52 weeks
- Active streak
0d
0 day best across resolved public contributions
- Read commits
41k
total commit history gitdebt has read
Most active · last 90 days
Languages across owned repos
- Python
- 92%
- C++
- 2%
- SVG
- 2%
- C
- 2%
- Markdown
- 1%
- HTML
- 1%
Add to your README
svg · gif · png · webp
Every asset defaults to a static frame; motion is yours to turn on, and it plays inside a GitHub README. Each snippet carries a light and a dark drawing behind one <picture> element, so it follows the reader's own GitHub theme.
Paste it into Claude Code, Cursor, Codex, or any coding agent with your checkout open. It carries the measured numbers, the exact snippets, and the rules — including replacing an existing star-history widget in place rather than stacking a second chart under it.
Tracked repositories
comparison builder- pandas-dev/.github
- pandas-dev/asv-runner
- pandas-dev/pandas
- pandas-dev/pandas-blog
- pandas-dev/pandas-compat
- pandas-dev/pandas-dev-flaker
- pandas-dev/pandas-governance
- pandas-dev/pandas-msgpack
- pandas-dev/pandas-user-surveys
Each repository sheet carries the full star trace plus its code-health readings — change frequency, repair load, ownership concentration and more.
How this sheet is drawn
gitdebt sums the cumulative star history of pandas-dev's top public repositories (up to 50, by stars) from cached public star timestamps, and derives the code readings from cached git history — commits, commit days, language line counts and author concentration. Everything here is read from gitdebt's own database; nothing on this page queries GitHub while you wait. Repositories without cached history are read in the background and join the totals as they complete. Explore further on the leaderboard or by comparing star histories across repositories.
This aggregate sums star series whose source differs per repository. Each repository's own sheet names its source and coverage date.