{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/13"}],"enrichment":{"capability":"Acryl-datahub-actions is an event-driven automation framework that listens to real-time metadata changes in DataHub and triggers custom workflows, notifications, or API calls in response.","skillfed_tags":["metadata-automation","event-driven","datahub-ecosystem"],"use_cases":["Send Slack notifications when specific tags are added to datasets or when ownership changes occur.","Automatically sync metadata changes from DataHub to external systems (data catalogs, BI tools, governance platforms).","Trigger data pipeline runs or quality checks when entities are tagged with specific categories.","Build custom audit logs or compliance workflows that react to metadata modifications in real time.","Enrich incoming metadata events with additional context before forwarding them to downstream systems."],"what_it_does":"Acryl-datahub-actions is a framework for building event-driven automations on top of DataHub's metadata platform. It connects to Kafka to consume real-time metadata change events (such as tag additions, ownership changes, or entity updates), applies optional filters and transformers to narrow or reshape those events, and then executes custom actions\u2014calling APIs, sending Slack alerts, triggering pipelines, or syncing to external systems. The package is designed to run multiple event pipelines concurrently in a single process, each defined declaratively in YAML.\n\nThe framework depends on acryl-datahub as its core metadata client and uses standard Python libraries like click for CLI, pydantic for configuration validation, tenacity for retry logic, and PyYAML for configuration parsing. It targets developers and operators who want to automate responses to metadata changes without building custom integrations from scratch.","worth_installing":"Yes, if you are running DataHub and need to automate responses to metadata changes. The package is actively maintained, has low install friction, carries a permissive license, and solves a real operational need. Start with the YAML-based quickstart to evaluate whether the built-in action types meet your use case; if not, the framework supports custom action development."},"id":"acryl-datahub-actions","links":{"html":"https://skillfed.io/packages/acryl-datahub-actions","md":"https://skillfed.io/packages/acryl-datahub-actions.md","pypi":"https://pypi.org/project/acryl-datahub-actions/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-14","license_spdx":null,"license_treatment":"permissive","name":"acryl-datahub-actions","python_support":"supports_current","summary":"Event-driven action framework for DataHub \u2014 trigger automations and workflows in response to real-time metadata changes"},"popularity":{"monthly_downloads":234776,"position":9017,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.0.4"}