Skip to content

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

active 2023-08-162025-10-29 (UTC)

Partial coverage20,511 / 26,267 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-13 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
46
Pushes
0
Pull requests
1
Issues
2
Stars
33
Forks
4

Activity over time

Daily event counts in the loaded window

Line chart, 806 days from 2023-08-16 to 2025-10-29. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 2 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 33 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
rfelixmg3001
aidings1000
hhh-01000
yananielsen1001
leonardgerardatomicmachinescom1010

Recent activity

Latest issues, pull requests and releases

  • Pull request#62leonardgerardatomicmachinescom2024-07-10 06:00
  • Issue comment#60yananielsen2024-02-04 10:48
    labels color issues
  • Issue#60aidings2023-10-26 06:28
    labels color issues
  • Issue#59hhh-02023-10-20 17:25
    AttributeError: module 'numpy' has no attribute 'float'.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 33 stars here means stars gained during the window, not the repo's star count.