Deequ
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets. observed · 2026-10-08
Health v2 · maintenance only
96/100
- Activity 95
- Release rhythm 95
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 6
- age_days: 2996
- days_rel: 34
- days_push: 34
- n_releases_24m: 14
Adoption not part of the score
3648 stars · 586 forks observed · 2026-10-08
Summary
No AI-extracted summary yet.
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| awslabs/deequ | main | 96 |
| awslabs/python-deequ | sdk | 93 |
For agents
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem