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.

Data Contracts engine for the modern data stack. https://www.soda.io

Home of the Open Data Contract Standard (ODCS).

Code-Native Data Privacy

The typed graph between your code and whichever warehouse, table format, or query engine you've chosen — typed compiler, branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.

A curated list of awesome blogs, videos, tools and resources about Data Contracts

Easy and flexible data contracts

A simple and easy to use Data Validation library for Python.

Test data management tool for any data source, batch or real-time. Generate, validate and clean up data all in one tool.

The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt

Data policy IN, dynamic view OUT: PACE is the Policy As Code Engine. It helps you to programatically create and apply a data policy to a processing platform like Databricks, Snowflake or BigQuery (or plain 'ol Postgres, even!) with definitions imported from Collibra, Datahub, ODD and the like.

A kedro plugin to use pandera in your kedro projects

DCEE is a lightweight Python framework for validating data against contracts and enforcing SLA rules. Built on pandas and boto3, it provides simple, fast data validation without heavy dependencies.

A validation engine for Open Data Contract Standard (ODCS) data contracts. Define your validation rules once in a declarative YAML contract and get rich, actionable reports on your data's quality.

Declarative data quality engine. Define checks in YAML, run anywhere.

The Data Store API Specification Repository

Open-source data contract enforcement — define, sync dbt, validate, block, report. Built on ODCS v3.1 + DuckDB.

Business model representation automation

Open-source, contract-driven data quality validation. Shift-left enforcement at the point of write — before data enters your pipeline.

High-performance, API-compatible drop-in replacement for Confluent Schema Registry. Avro, Protobuf & JSON Schema with PostgreSQL, MySQL, Cassandra storage. Built-in RBAC, client side field encryption, data contracts, audit logging. No Kafka dependency. Apache 2.0.