Github Trends®
9802 findingsmedian surprise 0.00377window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #148 · UNIT ID 883864343
drmingler/docling-api
Easily deployable and scalable backend server that efficiently converts various document formats (pdf, docx, pptx, html, images, etc) into Markdown. With support for both CPU and GPU processing, it is Ideal for large-scale workflows, it offers text/table extraction, OCR, and batch processing with sync/async endpoints.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0918
ENGAGEMENT0.97
FRESHNESS1.01
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
10% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
21.57
ACCEL
+13.86
RETENTION
0.0%
PEAK 2026-07-31 · FORK-RETENTION 0.0% · 151 STARS / WINDOW

Author Audience

AUDIENCE
195
FOLLOWERS
29
OWNER ★
1,660

Engagement Signals

FORKS
455
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 151 / 151 (DIVERSITY 1.00)

Why This Is A Finding

drmingler/docling-api собрал 151 звёзд за окно, тогда как у автора всего 29 подписчиков — эффективная аудитория ≈ 195. Это даёт surprise-индекс 0.0918 (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 9802 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.090.00+0.09ABOVE 98%
VELOCITY21.573.14+18.43ABOVE 92%
RETENTION0.0%20.0%-20.0 PPABOVE 0%
FORKS455210+245ABOVE 68%
SURPRISE0.090.00+0.09ABOVE 97%