Github Trends®
9594 findingsmedian surprise 0.00639window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #9146 · UNIT ID 652144437
kby-ai/Face-Liveness-Detection-SDK
Powerful 3D passive liveness detection SDK accurately detecting face presentation attacks, including face printed photos, face cutout masks, face digital and video replay attacks, and face 3D masks.
[ ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0024
ENGAGEMENT0.22
FRESHNESS1.07
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
63% 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
3.47
ACCEL
-0.56
RETENTION
1.3%
PEAK 2026-07-25 · FORK-RETENTION 0.0% · 104 STARS / WINDOW

Author Audience

AUDIENCE
1,406
FOLLOWERS
440
OWNER ★
2,323

Engagement Signals

FORKS
18
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 104 / 104 (DIVERSITY 1.00)

Why This Is A Finding

kby-ai/Face-Liveness-Detection-SDK собрал 104 звёзд за окно, тогда как у автора всего 440 подписчиков — эффективная аудитория ≈ 1,406. Это даёт surprise-индекс 0.0024 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9594 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 5%
VELOCITY3.473.57-0.10ABOVE 48%
RETENTION1.3%23.8%-22.4 PPABOVE 7%
FORKS18144-126ABOVE 12%
SURPRISE0.000.01-0.00ABOVE 28%