Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #5391 · UNIT ID 872005985
OpenDCAI/DataFlow
Easy Data Preparation with latest LLMs-based Operators and Pipelines.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00774
ENGAGEMENT0.20
FRESHNESS1.44
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
54% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
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
38.17
ACCEL
+0.40
RETENTION
42.6%
PEAK 2026-05-24 · FORK-RETENTION 0.0% · 3,435 STARS / WINDOW

Author Audience

AUDIENCE
4,894
FOLLOWERS
1,131
OWNER ★
13,160

Engagement Signals

FORKS
785
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 3,435 / 3,435 (DIVERSITY 1.00)

Why This Is A Finding

OpenDCAI/DataFlow собрал 3,435 звёзд за окно, тогда как у автора всего 1,131 подписчиков — эффективная аудитория ≈ 4,894. Это даёт surprise-индекс 0.00774 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 16%
VELOCITY38.173.99+34.17ABOVE 95%
RETENTION42.6%17.1%+25.5 PPABOVE 92%
FORKS78590+696ABOVE 92%
SURPRISE0.010.01-0.00ABOVE 39%