FINDING #7468 · UNIT ID 818558903
pyc-team/pytorch_concepts
PyC (Pytorch Concepts) is a PyTorch-based library for training 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)
69% 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
3.47
ACCEL
+0.63
RETENTION
25.0%
PEAK 2026-08-27 · FORK-RETENTION 37.5% · 104 STARS / WINDOW
Author Audience
AUDIENCE
41
FOLLOWERS
5
OWNER ★
155
Engagement Signals
FORKS
21
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 104 / 104 (DIVERSITY 1.00)
Why This Is A Finding
pyc-team/pytorch_concepts собрал 104 звёзд за окно, тогда как у автора всего 5 подписчиков — эффективная аудитория ≈ 41. Это даёт surprise-индекс 0.0428 (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 22% OF 9591 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 22%
VELOCITY3.473.63-0.17ABOVE 48%
RETENTION25.0%24.8%+0.2 PPABOVE 50%
FORKS21120-99ABOVE 16%
SURPRISE0.040.01+0.03ABOVE 89%