Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #5698 · UNIT ID 987976055
NVIDIA-NeMo/Automodel
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000159
ENGAGEMENT0.20
FRESHNESS1.42
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
66% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1b · REPO PREDATES ITS OWNER ACCOUNT (TRANSFERRED / RE-CREATED)
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
2.64
ACCEL
+0.01
RETENTION
39.6%
PEAK 2026-07-01 · FORK-RETENTION 0.0% · 476 STARS / WINDOW

Author Audience

AUDIENCE
16,599
FOLLOWERS
1,334
OWNER ★
37,519

Engagement Signals

FORKS
220
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 476 / 476 (DIVERSITY 1.00)

Why This Is A Finding

NVIDIA-NeMo/Automodel собрал 476 звёзд за окно, тогда как у автора всего 1,334 подписчиков — эффективная аудитория ≈ 16,599. Это даёт surprise-индекс 0.000159 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 4%
VELOCITY2.643.29-0.65ABOVE 39%
RETENTION39.6%11.3%+28.3 PPABOVE 94%
FORKS22099+121ABOVE 72%
SURPRISE0.000.01-0.01ABOVE 6%