Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #8560 · UNIT ID 155220641
huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0000382
ENGAGEMENT0.70
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
43.33
ACCEL
+8.00
RETENTION
0.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 130 STARS / WINDOW

Author Audience

AUDIENCE
1,134,327
FOLLOWERS
67,677
OWNER ★
702,689

Engagement Signals

FORKS
34,400
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 130 / 130 (DIVERSITY 1.00)

Why This Is A Finding

huggingface/transformers собрал 130 звёзд за окно, тогда как у автора всего 67,677 подписчиков — эффективная аудитория ≈ 1,134,327. Это даёт surprise-индекс 0.0000382 (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 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 10%
VELOCITY43.335.67+37.67ABOVE 94%
RETENTION0.0%42.9%-42.9 PPABOVE 0%
FORKS34,400333+34,067ABOVE 100%
SURPRISE0.000.00-0.00ABOVE 4%