open-metadata/OpenMetadata
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
A star delta has been computed for 62,252 of 63,107 tracked repositories in this period, and only those can be ranked in it.
A repository missing here has not been measured far enough back yet. That does not mean it did not move.
Star counts measured between 07:51 and 10:05 (BKK).
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Rubric-driven evaluation for AI agents. Executable criteria, code and model judges, and inspectable trace reports.
Refine high-quality datasets and visual AI models
lakeFS - Data version control for your data lake | Git for data
Open-source data contract testing for Snowflake, Databricks, BigQuery, Kafka & 15 more. Built on the Open Data Contract Standard (ODCS). MIT.
Data Contracts engine for the modern data stack. https://www.soda.io
Always know what to expect from your data.
The Open Source Feature Store for AI/ML
Scalable data pre processing and curation toolkit for LLMs
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
SDK for robotics teams to verify the quality of their data used for AI model training.
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.
AtroCore is an enterprise-ready, highly configurable Business Application Platform for managing complex data, integrating systems, and building custom business applications. It provides ready-made solutions for Master Data Management (MDM), Product Information Management (PIM), Digital Asset Management (DAM), and more.
A SQL transformation engine that type-checks your whole pipeline and catches breaking changes before they run — branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
Databricks framework to validate Data Quality of pySpark DataFrames and Tables
Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats hand-tuned Splink. Arrow-native/Rust, 250M rows in 11.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, 97 MCP tools + REST.
CSV Lint plug-in for Notepad++ for syntax highlighting, csv validation, automatic column and datatype detecting, fixed width datasets, change datetime format, decimal separator, sort data, count unique values, convert to xml, json, sql etc. A plugin for data cleaning and working with messy data files.
Data validation toolkit for assessing and monitoring data quality.
That's all 19 repositories in this period.