Governed, provenance-sealed creative rendering for Databricks — a Streamlit App + Unity Catalog ai_render() function that turns any governed source (Sample Lakehouse, UC, Genie, or BYO data) into infographics, reports, decks, video briefings, music, and podcas
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alchemylake-databricks has 129 stars on GitHub. It has been forked 127 times. alchemylake-databricks is written mainly in Python. It has been in active development since 2026. alchemylake-databricks is available under the Apache-2.0 license. Its main topics are ai-agents, data-storytelling, data-visualization, databricks.
Governed, provenance-sealed creative rendering for Databricks — a Streamlit App + Unity Catalog ai_render() function that turns any governed source (Sample Lakehouse, UC, Genie, or BYO data) into infographics, reports, decks, video briefings, music, and podcas
alchemylake-databricks is an open-source project. It is released under the Apache-2.0 license.
Yes. alchemylake-databricks is free and open source — you can use, modify and self-host it.
alchemylake-databricks is available under the Apache-2.0 license.
alchemylake-databricks is written mainly in Python.
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