data-quality-framework

Swiple enables you to easily observe, understand, validate and improve the quality of your data

Data quality, maturity and utility labelling tool for the EHDS (HealthData@EU)

Sumeh — Unified Data Quality Framework Sumeh is a unified data quality validation framework supporting multiple backends (PySpark, Dask, Polars, DuckDB, Pandas) with centralized rule configuration.

A production-ready, config-driven Data Quality framework powered by databricks-labs-dqx. It converts plain-language business rules into scalable checks featuring Delta auditing, drift detection, SLA enforcement, bad-row quarantine, and end-to-end DAB deployment.

Automatically validate datasets, poll task status, and display validation results in a GitHub using Swiple pull request.

Gere relatórios automatizados de cotações de ETFs da B3. Extraia dados via API ou offline, valide qualidade, calcule métricas financeiras e gere relatórios PDF profissionais com Data Lake (ELT).

数据质量检查工具, 用于诊断数据的问题

Audit a CSV before you trust it. A local data-audit CLI that characterizes columns, gates each check on the properties it needs, and reports what it couldn't check.