meta-models/meta-model-cookbook — GitHub trend

FINDING #1546 · UNIT ID 1292817311

meta-models/meta-model-cookbook

Developer recipes for Meta Model API — agentic workflows, multi-agent orchestration patterns, and use case examples with cost comparisons. Colab notebooks + standalone Python files.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0196

ENGAGEMENT0.20

FRESHNESS1.31

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

100% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

1.73

ACCEL

+0.21

RETENTION

6.9%

PEAK 2026-07-09 · FORK-RETENTION 0.0% · 52 STARS / WINDOW

Author Audience

AUDIENCE

FOLLOWERS

OWNER ★

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 52 / 52 (DIVERSITY 1.00)

Why This Is A Finding

meta-models/meta-model-cookbook собрал 52 звёзд за окно, тогда как у автора всего 19 подписчиков — эффективная аудитория ≈ 48. Это даёт surprise-индекс 0.0196 (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.

Related Findings

RANKS ABOVE 75% OF 6295 FINDINGS

#01shy3130/tickflow-stock-panel[ PYTHON ]0.46 #06Panniantong/Agent-Reach[ PYTHON ]0.29 #10sums001/Windows-Copilot-API[ PYTHON ]0.27 #12HUANGCHIHHUNGLeo/claude-real-video[ PYTHON ]0.24 #14realiti4/claude-swap[ PYTHON ]0.21

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 75%

VELOCITY1.734.23-2.50ABOVE 9%

RETENTION6.9%29.4%-22.5 PPABOVE 9%

FORKS692-86ABOVE 5%

SURPRISE0.020.01+0.01ABOVE 64%