FINDING #7426 · 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
3.57
ACCEL
+0.60
RETENTION
14.4%
PEAK 2026-08-27 · FORK-RETENTION 37.5% · 107 STARS / WINDOW
Author Audience
AUDIENCE
41
FOLLOWERS
5
OWNER ★
157
Engagement Signals
FORKS
21
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 107 / 107 (DIVERSITY 1.00)
Why This Is A Finding
pyc-team/pytorch_concepts собрал 107 звёзд за окно, тогда как у автора всего 5 подписчиков — эффективная аудитория ≈ 41. Это даёт surprise-индекс 0.0438 (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 23% OF 9595 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 23%
VELOCITY3.573.67-0.10ABOVE 49%
RETENTION14.4%24.6%-10.3 PPABOVE 30%
FORKS21115-94ABOVE 16%
SURPRISE0.040.01+0.04ABOVE 89%