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scikit-learn-contrib/fastcan

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A fast canonical-correlation-based search algorithm for feature selection, system identification, data pruning, etc.

active 2024-10-23 → 2026-09-20 (UTC)

Complete coverage28,288 / 28,288 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-05 (UTC)
Events
562
Pushes
115
Pull requests
167
Issues
150
Stars
18
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 698 days from 2024-10-23 to 2026-09-20. Pushes: 115 total, peak 8 in a day. Pull requests: 167 total, peak 13 in a day. Issues: 150 total, peak 5 in a day. Comments: 82 total, peak 6 in a day. Stars: 18 total, peak 1 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
MatthewSZhang4158316715
codecov-commenter460046
github-actions[bot]323200
codecov[bot]200020
Copilot3001

Recent activity

Latest issues, pull requests and releases

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.