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ldingemans/PhenoScore

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PhenoScore is an open source, artificial intelligence-based phenomics framework that combines facial recognition technology with Human Phenotype Ontology (HPO) data analysis to quantify phenotypic similarity at both the level of individual patients as well as of cohorts.

active 2023-08-17 → 2025-08-19 (UTC)

Complete coverage28,178 / 28,178 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-01 (UTC)
Events
128
Pushes
54
Pull requests
20
Issues
7
Stars
10
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 734 days from 2023-08-17 to 2025-08-19. Pushes: 54 total, peak 16 in a day. Pull requests: 20 total, peak 9 in a day. Issues: 7 total, peak 2 in a day. Comments: 16 total, peak 4 in a day. Stars: 10 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
ldingemans715467
DatSplit220146
GauravPrajapati964002
drmurdock2001
DWuuuuuu1000
Ivanfxia1000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 10 stars here means stars gained during the window, not the repo's star count.