Skip to content

Here we provides a python reimplementation of the R package Nebulosa, which handles the crowding problem of single-cell gene expression visualization.

active 2025-03-042025-09-03 (UTC)

Complete coverage26,585 / 26,585 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
14
Pushes
6
Pull requests
0
Issues
1
Stars
5
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 184 days from 2025-03-04 to 2025-09-03. Pushes: 6 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 5 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

ContributorContributionsPushesPRsComments
chansigit6600
Lucyyang19911000
RobinCarvajal1001

Recent activity

Latest issues, pull requests and releases

  • Issue#1Lucyyang19912025-08-18 10:59
    how to install and use this package?
  • Issue comment#1RobinCarvajal2025-08-15 22:07
    how to install and use this package?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 5 stars here means stars gained during the window, not the repo's star count.