Always know what to expect from your data.
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Updated
May 29, 2024 - Python
Always know what to expect from your data.
OpenMetadata is a unified platform for discovery, observability, and governance powered by a central metadata repository, in-depth lineage, and seamless team collaboration.
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
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.
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.
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