WrenAI
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse,
Create and manage business dashboards by asking questions in natural language, and get insights from various data sources.
From the README
pip install wrenai # core (DuckDB included) pip install "wrenai[postgres,memory]" # add per-datasource and memory extras as needed
- Models, columns, relationships, and views — the shape of your data, decoupled from any one warehouse.
- Cubes and metrics — approved, reusable definitions so "revenue" means the same thing everywhere.
- Business context beyond the schema — enums, units, approved joins, and definitions in version-controlled instructions.md and queries.yml.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeGenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse,
WrenAI has 17.4k stars on GitHub. It has been forked 2k times. WrenAI is written mainly in Python. It has been in active development since 2024. Its main topics are ai-agents, bigquery, business-intelligence, charts.
What is WrenAI?
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse,
Is WrenAI open source?
WrenAI is an open-source project.
Is WrenAI free?
Yes. WrenAI is free and open source — you can use, modify and self-host it.
What language is WrenAI written in?
WrenAI is written mainly in Python.
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