FINDING #6504 · UNIT ID 818558903
pyc-team/pytorch_concepts
PyC (Pytorch Concepts) is a PyTorch-based library for designing concept-based interpretable deep learning models.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
70% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1a · OWNER ACCOUNT AND REPO CREATED SAME DAY
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
Growth Telemetry
VELOCITY /D
15.14
ACCEL
+4.57
RETENTION
14.4%
PEAK 2026-08-27 · FORK-RETENTION 37.5% · 106 STARS / WINDOW
Author Audience
AUDIENCE
41
FOLLOWERS
5
OWNER ★
157
Engagement Signals
FORKS
21
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 106 / 106 (DIVERSITY 1.00)
Why This Is A Finding
pyc-team/pytorch_concepts собрал 106 звёзд за окно, тогда как у автора всего 5 подписчиков — эффективная аудитория ≈ 41. Это даёт surprise-индекс 0.19 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 37.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.
Related Findings
RANKS ABOVE 33% OF 9771 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 33%
VELOCITY15.143.71+11.43ABOVE 85%
RETENTION14.4%39.3%-25.0 PPABOVE 19%
FORKS2191-70ABOVE 20%
SURPRISE0.190.01+0.18ABOVE 98%