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UBC-MDS/ez-df-data-validator

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2025-26 DSCI-524 Group 23: ez-df-data-validator is a project that provides basic, but essential data cleaning functionality for ML workflows. This package provides a lightweight and user friendly toolkit for common data cleaning tasks in Python.

active 2026-01-24 → 2026-02-02 (UTC)

Complete coverage28,158 / 28,158 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-31 (UTC)
Events
134
Pushes
42
Pull requests
16
Issues
38
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 10 days from 2026-01-24 to 2026-02-02. Pushes: 42 total, peak 11 in a day. Pull requests: 16 total, peak 6 in a day. Issues: 38 total, peak 16 in a day. Comments: 23 total, peak 7 in a day. Stars: 1 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
gaurang23601284
Nish-kumar23745
github-actions[bot]181107
wst071215924
jleung4812322
codecov[bot]1001
RNanfuka1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.