Github Trends®
9679 findingsmedian surprise 0.00864window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #9162 · UNIT ID 287463830
microsoft/qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00000948
ENGAGEMENT0.40
FRESHNESS1.58
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
36.53
ACCEL
-0.81
RETENTION
24.5%
PEAK 2026-08-17 · FORK-RETENTION 83.3% · 1,096 STARS / WINDOW

Author Audience

AUDIENCE
3,851,748
FOLLOWERS
129,606
OWNER ★
2,774,643

Engagement Signals

FORKS
7,672
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,096 / 1,096 (DIVERSITY 1.00)

Why This Is A Finding

microsoft/qlib собрал 1,096 звёзд за окно, тогда как у автора всего 129,606 подписчиков — эффективная аудитория ≈ 3,851,748. Это даёт surprise-индекс 0.00000948 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 83.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9679 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 5%
VELOCITY36.533.80+32.73ABOVE 94%
RETENTION24.5%25.0%-0.5 PPABOVE 49%
FORKS7,672112+7,560ABOVE 99%
SURPRISE0.000.01-0.01ABOVE 1%