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Create visualisations of data for ML EDA

active 2023-10-122025-12-14 (UTC)

Complete coverage26,460 / 26,460 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
127
Pushes
70
Pull requests
19
Issues
16
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 795 days from 2023-10-12 to 2025-12-14. Pushes: 70 total, peak 12 in a day. Pull requests: 19 total, peak 4 in a day. Issues: 16 total, peak 4 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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
dibble0710470190
rdib-equinor1000

Recent activity

Latest issues, pull requests and releases

  • Pull request#130dibble072025-12-14 20:07
  • Issue#124dibble072025-08-15 11:17
    Handle multi-index feature names
  • Releasedibble072025-02-20 17:30
    1.13.0
  • Pull request#123dibble072025-02-20 17:29
  • Pull request#123dibble072025-02-20 17:12
  • Releasedibble072024-12-05 16:48
    1.12.2
  • Issue#122dibble072024-12-05 16:48
    Proportion to be considered as a class in a target
  • Pull request#121dibble072024-12-05 16:48
  • Issue#122dibble072024-12-05 16:37
    Proportion to be considered as a class in a target
  • Pull request#121dibble072024-12-05 16:36
  • Releasedibble072024-12-05 13:50
    1.12.1
  • Issue#119dibble072024-12-05 13:45
    ExploratoryDataAnalysis passes numpy data types to SingleDistribution for target score values which aren't handled
  • Pull request#120dibble072024-12-05 13:45
  • Pull request#120dibble072024-12-05 13:04
  • Issue#119dibble072024-12-05 12:59
    ExploratoryDataAnalysis passes numpy data types to SingleDistribution for target score values which aren't handled
  • Issue#115dibble072024-12-04 16:22
    Automated documentation out of date
  • Releasedibble072024-12-04 16:17
    1.12.0
  • Issue#114dibble072024-12-04 16:14
    Allow different metric on y axis and change default to proportion
  • Issue#116dibble072024-12-04 16:14
    Remove unnecessary warnings for not deskewing categorical features
  • Pull request#118dibble072024-12-04 16:14
  • Issue#117dibble072024-12-04 16:05
    Allow manual specification of features as categorical
  • Pull request#118dibble072024-12-04 16:01
  • Issue#116dibble072024-12-03 12:39
    Remove unnecessary warnings for not deskewing categorical features
  • Issue#115dibble072024-12-03 12:37
    Automated documentation out of date
  • Issue#114dibble072024-11-27 11:06
    Allow different metric on y axis and change default to proportion

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.