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

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▲РЕПО НЕТ В ОКНЕ 30D. ПОКАЗАН FINDING ИЗ ОКНА 180D (180 days) — РАНГ #2382.

FINDING #2382 · 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

SURPRISE0.000207

ENGAGEMENT0.50

FRESHNESS1.30

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

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

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

3.21

ACCEL

-0.05

RETENTION

3.0%

PEAK 2026-02-07 · FORK-RETENTION 65.9% · 578 STARS / WINDOW

Author Audience

AUDIENCE

15,484

FOLLOWERS

3,172

OWNER ★

45,698

Engagement Signals

FORKS

7,915

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 577 / 578 (DIVERSITY 1.00)

Why This Is A Finding

DataExpert-io/data-engineer-handbook собрал 578 звёзд за окно, тогда как у автора всего 3,172 подписчиков — эффективная аудитория ≈ 15,484. Это даёт surprise-индекс 0.000207 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 65.9% и 4 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 20% OF 2987 FINDINGS

#267pageman/sutskever-30-implementations[ JUPYTER NOTEBOOK ]0.00627 #293Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.00576 #496lyogavin/airllm[ JUPYTER NOTEBOOK ]0.00444 #678duoan/TorchCode[ JUPYTER NOTEBOOK ]0.00336 #704CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.0032

METRICS IN CONTEXT

MEDIAN ACROSS ALL 2987 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 20%

VELOCITY3.212.84+0.37ABOVE 56%

RETENTION3.0%6.8%-3.8 PPABOVE 21%

FORKS7,9151,068+6,847ABOVE 90%

SURPRISE0.000.00-0.00ABOVE 24%