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

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FINDING #2017 · 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

SURPRISE0.000186

ENGAGEMENT0.49

FRESHNESS1.39

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

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

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.91

ACCEL

-0.06

RETENTION

2.8%

PEAK 2026-02-07 · FORK-RETENTION 74.7% · 523 STARS / WINDOW

Author Audience

AUDIENCE

15,583

FOLLOWERS

3,201

OWNER ★

45,904

Engagement Signals

FORKS

7,950

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 522 / 523 (DIVERSITY 1.00)

Why This Is A Finding

DataExpert-io/data-engineer-handbook собрал 523 звёзд за окно, тогда как у автора всего 3,201 подписчиков — эффективная аудитория ≈ 15,583. Это даёт surprise-индекс 0.000186 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 74.7% и 4 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 21% OF 2559 FINDINGS

#536duoan/TorchCode[ JUPYTER NOTEBOOK ]0.00335 #584CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.00302 #614GiovanniPasq/agentic-rag-for-dummies[ JUPYTER NOTEBOOK ]0.00285 #632Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.00278 #653lyogavin/airllm[ JUPYTER NOTEBOOK ]0.0027

METRICS IN CONTEXT

MEDIAN ACROSS ALL 2559 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 21%

VELOCITY2.912.88+0.02ABOVE 50%

RETENTION2.8%6.3%-3.5 PPABOVE 21%

FORKS7,9501,183+6,767ABOVE 89%

SURPRISE0.000.00-0.00ABOVE 24%