Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #5144 · UNIT ID 976286833
IBM/AssetOpsBench
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000122
ENGAGEMENT0.20
FRESHNESS1.38
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
36% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
8.13
ACCEL
-0.00
RETENTION
26.7%
PEAK 2026-06-15 · FORK-RETENTION 0.0% · 732 STARS / WINDOW

Author Audience

AUDIENCE
66,560
FOLLOWERS
8,426
OWNER ★
74,947

Engagement Signals

FORKS
293
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 732 / 732 (DIVERSITY 1.00)

Why This Is A Finding

IBM/AssetOpsBench собрал 732 звёзд за окно, тогда как у автора всего 8,426 подписчиков — эффективная аудитория ≈ 66,560. Это даёт surprise-индекс 0.000122 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 19%
VELOCITY8.133.99+4.14ABOVE 73%
RETENTION26.7%17.1%+9.5 PPABOVE 70%
FORKS29390+204ABOVE 78%
SURPRISE0.000.01-0.01ABOVE 5%