17 projects
acryl-datahub-actions
Event-driven action framework for DataHub — trigger automations and workflows in response to real-time metadata changes
acryl-datahub-airflow-plugin
DataHub Airflow plugin — automatically capture pipeline lineage, run history, and task metadata from Apache Airflow
datahub-agent-context
MCP tools for AI agents to search and query your DataHub metadata catalog — works with Claude, Cursor, Copilot, and any MCP-compatible AI assistant
acryl-datahub-dagster-plugin
DataHub Dagster plugin — automatically capture asset lineage, run history, and job metadata from Dagster pipelines
prefect-datahub
DataHub Prefect plugin — automatically capture flow lineage and run metadata from Prefect workflows into your DataHub catalog
acryl-datahub-gx-plugin
DataHub Great Expectations plugin — send data quality assertion results from GX checkpoints into your DataHub catalog
acryl-datahub
DataHub ingestion framework and CLI — connect, extract, and push metadata from 50+ data sources into your DataHub catalog
acryl-datahub-cloud
None
acryl-executor
Run DataHub metadata ingestion tasks remotely via subprocess isolation with S3 log storage
mcp-server-datahub
A Model Context Protocol (MCP) server for DataHub
acryl-datahub-classify
[DEPRECATED] Library to predict info types for DataHub
acryl-PyHive
Python interface to Hive
datahub-semantic-agent
MCP server for talking to your data, powered by DataHub
acryl-great-expectations
Always know what to expect from your data.
acryl-sqlglot
An easily customizable SQL parser and transpiler
avro-gen3
Avro record class and specific record reader generator
acryl-iceberg-legacy
Acryl maintained copy of Iceberg Python bindings. Iceberg is a new table format for storing large, slow-moving tabular data
