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Python Machine Learning Notebooks in Docker

active 2024-01-232026-04-17 (UTC)

Complete coverage26,361 / 26,361 hourly files (100%) · 2 absent upstream2023-08-152026-08-17 (UTC)
Events
128
Pushes
99
Pull requests
0
Issues
8
Stars
2
Forks
7

Activity over time

Daily event counts in the loaded window

Line chart, 816 days from 2024-01-23 to 2026-04-17. Pushes: 99 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 8 total, peak 3 in a day. Comments: 1 total, peak 1 in a day. Stars: 2 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
rambasnet1089901

Recent activity

Latest issues, pull requests and releases

  • Issue#5rambasnet2024-02-16 18:24
    Fix permission issue when running jupyter-notebook
  • Issue#5rambasnet2024-02-16 18:21
    Fix permission issue when running jupyter-notebook
  • Issue#4rambasnet2024-02-14 16:27
    Py-openaq depricated
  • Issue#3rambasnet2024-02-14 04:37
    Add support for Flask and Heroku
  • Issue#3rambasnet2024-02-14 04:35
    Add support for Flask and Heroku
  • Issue comment#2rambasnet2024-02-07 18:44
    Add python libraries to requirements.txt
  • Issue#2rambasnet2024-02-07 18:14
    Add python libraries to requirements.txt
  • Issue#1rambasnet2024-02-05 06:08
    Create a clean repo with Docker
  • Issue#1rambasnet2024-02-05 05:59
    Create a clean repo with Docker

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.