Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Always know what to expect from your data.
OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
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
re_data - fix data issues before your users & CEO would discover them 😊
Scalable identity resolution, entity resolution, data mastering and deduplication using ML
ML powered analytics engine for outlier detection and root cause analysis.
Know your data better!Datavines is Next-gen Data Observability Platform, support metadata manage and data quality.
The premier open source Data Quality solution
Dingo: A Comprehensive AI Data Quality Evaluation Tool
Library for Semi-Automated Data Science
Possibly the fastest DataFrame-agnostic quality check library in town.
Open Source Data Quality Monitoring.
Frontend for the osmcha-django REST API
Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
Installer for DataKitchen's Open Source Data Observability Products. Data breaks. Servers break. Your toolchain breaks. Ensure your team is the first to know and the first to solve with visibility across and down your data estate. Save time with simple, fast data quality test generation and execution. Trust your data, tools, and systems end to end.
DataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling, new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring
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