Fast K-Medoids clustering in Python with FasterPAM
active 2023-08-16 → 2026-03-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 943 days from 2023-08-16 to 2026-03-15. Pushes: 8 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 6 total, peak 2 in a day. Comments: 6 total, peak 2 in a day. Stars: 18 total, peak 2 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
Recent activity
Latest issues, pull requests and releases
- Issue#33HLammers2026-03-15 11:09Feature suggestion: set minimum cluster size
- Issue comment#32apcamargo2025-07-27 12:31Expose function to get the medoid from a distance matrix
- Issue#32apcamargo2025-07-26 20:45Expose function to get the medoid from a distance matrix
- Issue comment#29kno102024-10-02 09:27Question about labels consistency
- Issue comment#29khieu2024-09-30 20:21Question about labels consistency
- Issue comment#29kno102024-09-30 19:52Question about labels consistency
- Issue#29kno102024-09-30 19:52Question about labels consistency
- Issue#28khieu2024-09-20 22:00Question regarding visualizing medoid
- Issue#27awarebayes2024-06-27 11:53Inefficiency in a hot loop
- Issue comment#27awarebayes2024-06-27 11:51Inefficiency in a hot loop
- Issue comment#27awarebayes2024-06-27 11:50Inefficiency in a hot loop
- Issue#27awarebayes2024-06-27 11:38Inefficiency in a hot loop
- Releasekno102023-12-10 20:55v0.5.0
- Releasekno102023-12-10 20:47v0.5.0
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 18 stars here means stars gained during the window, not the repo's star count.