DataExpert-io/data-engineer-handbook — GitHub trend

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FINDING #3345 · UNIT ID 720853375

DataExpert-io/data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00129

ENGAGEMENT0.44

FRESHNESS1.00

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

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

0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

20.00

ACCEL

0.00

RETENTION

0.0%

PEAK 2026-07-14 · FORK-RETENTION 0.0% · 20 STARS / WINDOW

Author Audience

AUDIENCE

15,484

FOLLOWERS

3,172

OWNER ★

45,698

Engagement Signals

FORKS

7,915

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 20 / 20 (DIVERSITY 1.00)

Why This Is A Finding

DataExpert-io/data-engineer-handbook собрал 20 звёзд за окно, тогда как у автора всего 3,172 подписчиков — эффективная аудитория ≈ 15,484. Это даёт surprise-индекс 0.00129 (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 44% OF 6024 FINDINGS

#336lit26/finvizfinance[ JUPYTER NOTEBOOK ]0.0314 #633lyogavin/airllm[ JUPYTER NOTEBOOK ]0.0142 #738Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.0116 #755Nicolepcx/ai-agents-the-definitive-guide[ JUPYTER NOTEBOOK ]0.0112 #838larymak/Python-project-Scripts[ JUPYTER NOTEBOOK ]0.00962

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 44%

VELOCITY20.009.00+11.00ABOVE 77%

RETENTION0.0%0.0%0.0 PPABOVE 0%

FORKS7,915495+7,420ABOVE 94%

SURPRISE0.000.00-0.00ABOVE 25%