OpenMetadata is a unified platform for discovery, observability, and governance powered by a central metadata repository, in-depth lineage, and seamless team collaboration.

Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

The open-source tool for building high-quality datasets and computer vision models

Client interface for all things Cleanlab Studio

Tool for automatic determination of data quality (accuracy and precision) of wearable eye tracker recordings

Always know what to expect from your data.

The Open Source Feature Store for Machine Learning

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

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.

Data quality reporting for temporal datasets.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

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.

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Home of the Open Data Contract Standard (ODCS).

Web Client for easy access to OSM History and Quality Analyses

Papers about training data quality management for ML models.

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

Test data management tool for any data source, batch or real-time

Source-available data quality tool

lakeFS - Data version control for your data lake | Git for data