Always know what to expect from your data.

Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Compare tables within or across databases

⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

The premier open source Data Quality solution

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

re_data - fix data issues before your users & CEO would discover them 😊

Scalable identity resolution, entity resolution, data mastering and deduplication using ML

Library for Semi-Automated Data Science

ML powered analytics engine for outlier detection and root cause analysis.

Frontend for the osmcha-django REST API

数据质量控制系统

Open Source Data Quality Monitoring.

Possibly the fastest DataFrame-agnostic quality check library in town.

Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.

The core library of osDQ

Huemul BigDataGovernance, es una framework que trabaja sobre Spark, Hive y HDFS. Permite la implementación de una estrategia corporativa de dato único, basada en buenas prácticas de Gobierno de Datos. Permite implementar tablas con control de Primary Key y Foreing Key al insertar y actualizar datos utilizando la librería, Validación de nulos, la…

Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.