pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
50.1k stars · 20.5k forks · Python
Caution
Caution: one person wrote most of the recent commits.
Why
- One person wrote 75% of human commits in the last year, so the project depends on them continuing. (source 1, source 2)
What would change this
- A second person takes a substantial share of commits.
- Partly checked: maintenance (Commit counts are estimated: the commit sample stops before the window start, so GitHub's totals were scaled by the sampled bot share.; Authors in the last 90 days are counted from the sampled commits only.)
Maintenance
PartialActive
- Human commits, 30 days
- 464
- Human commits, 90 days
- 1k
- Human commits, 365 days
- 2.8k
- Bot share of commits, 365 days
- 3%
- Last commit
- Oct 14, 2026 (1 day ago)
- Last human commit
- Oct 14, 2026 (1 day ago)
- Authors, 90 days
- 56
- Last release
- Sep 17, 2026 (27 days ago)
- Median PR merge time
- 6 hours
Responsiveness: of 11 recent issues, 91% got a maintainer reply. Median first response: 26 hours.
- Commit counts are estimated: the commit sample stops before the window start, so GitHub's totals were scaled by the sampled bot share.
- Authors in the last 90 days are counted from the sampled commits only.
Sources: Commits, Releases, Merged pull requests, Issues
People
Complete- Owner
- Organization
- Commits sampled
- 487 since Oct 14, 2025
- Authors for half of commits
- 1
- Authors for 80% of commits
- 3
- Contributors
- 413
Top committers
- jbrockmendel: 75% of commits
- rhshadrach: 4% of commits
- jorisvandenbossche: 4% of commits
- fangchenli: 2% of commits
- SudoKMaar: 1% of commits
- Shares come from the newest sampled commits, since the commit sample is capped.
Sources: Commits, Contributors
Stars
CompleteOrganic, confidence high
Bursts
- Sep 17, 2013 to Sep 20, 2013: about 62 more stars than usual, peak 33 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Dec 30, 2016 to Jan 6, 2017: about 257 more stars than usual, peak 101 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Mar 29, 2017 to Mar 30, 2017: about 59 more stars than usual, peak 46 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- Nov 1, 2018 to Nov 1, 2018: about 52 more stars than usual, peak 65 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Oct 2, 2019 to Oct 3, 2019: about 81 more stars than usual, peak 53 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Mar 23, 2021 to Mar 24, 2021: about 152 more stars than usual, peak 141 in one day, a spike that tapers off. Outside explanation: a jump in issues and pull requests.
- Apr 27, 2022 to Apr 28, 2022: about 135 more stars than usual, peak 131 in one day, a spike that tapers off. No outside explanation found, so this burst is unexplained.
- Apr 3, 2023 to Apr 6, 2023: about 278 more stars than usual, peak 150 in one day, a shape we can't classify. Outside explanation: a jump in issues and pull requests.
- 5 stars GitHub has since removed (tracked since Oct 13, 2026).
Anyone can buy stars for any repo; bursts alone don't prove the owner did.
- The star history looks organic.
Sources: How star history is analyzed
Risk
CompleteFlags
No risk flags.
License
- Now
- BSD-3-Clause (OSI-approved)
- A year ago
- BSD-3-Clause (OSI-approved)
Packages
- pandas (PYPI): latest 3.0.6, published Sep 17, 2026
Advisories for the latest version: none listed
Package and advisory data: deps.dev and OSV.
OpenSSF Scorecard: 7.1 out of 10 (via deps.dev).
Badge
Add this to a README to show the current verdict:
[](https://reporadar.ai/pandas-dev/pandas)Earlier verdicts
- Oct 14, 2026: Caution
- Oct 13, 2026: Caution
- Oct 13, 2026: Caution
Computed 16 hours ago · method 2026.10.2