data-quality-report

Know your data better！Datavines is Next-gen Data Observability Platform, support metadata manage and data quality.

Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool

Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.

Framework to Automatically Determine the Quality of Open Data Catalogs

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

Collection of R scripts to test packages in conducting data quality assessments

A function that automatically generates a Data Quality Report for your data

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.

Your data is dirty. sanitizepy finds out why, tells you in plain English, and fixes it with a full audit trail so you know exactly what changed and why.

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).

Data quality report made for machine learning.

collection of Jupyter Notebooks in both English and Spanish, dedicated to performing data quality analysis using the R programming language

AI-powered data cleaning tool with structured error taxonomy (Type 1/2/3), cell-level confidence scoring, and deterministic Python execution. Built ▎ with Streamlit + Azure OpenAI.

Data Quality Library (dqLib): An R Package for Explainable and Traceable Assessments of Clinical Data Quality

Data quality plugin for Claude Code by DQE Software — a growing suite of data quality tools. Currently includes 1 audit skill analysing 6 dimensions (completeness, invalid dates, duplicates, anomalies, broken relationships, format inconsistencies) and generating 3 standalone HTML reports (audit, client guide, PM guide) in EN, FR, DE and ES.

Free, local health check for dbt projects. Finds cost, data quality, security and code issues in your models — no warehouse connection, no credentials, no signup.

Turns messy SME Excel/ERP exports into analysis-ready data: quality audit, automated cleanup, star-schema warehouse and live dashboard. Python, FastAPI, SQL, Claude API, n8n.

Automated audio-video sync detection for 2,371 real-time speech MRI videos: cross-correlates audio energy with video motion, flags 8 issue types, and includes a validator for checking the flags by hand.

the 5-layer model (Penta) paired with end-to-end data lineage, based on DAMA ;Enterprise Architecture Taxonomy

An automated Data Quality assessment and audit logging engine built natively inside Snowflake using Snowpark Python and SQL.