Querio

Open-source GenBI agent: ask in plain language, get governed SQL, charts, and dashboards.

An agentic GenBI platform from Canner that turns natural-language questions into governed SQL, charts, and live dashboards over 20+ databases and warehouses, from BigQuery and Snowflake to PostgreSQL and DuckDB. Its open-source core is a semantic 'context layer' (MDL) that grounds LLM-generated queries in business definitions instead of raw schemas. Runs self-hosted via Docker or as a managed cloud with RBAC and row/column-level security.

Open-source SQL agent — ask questions in plain English, get accurate SQL on your warehouse.

An open-source Python framework for text-to-SQL: you train a RAG layer on your schema, past queries and documentation, and Vanna generates SQL that actually fits your warehouse, returning results as DataFrames or Plotly charts. Connects to Postgres, MySQL, Snowflake, BigQuery, SQLite and more. Vanna 2.0 adds agent features — lifecycle hooks, middlewares, conversation storage and observability — with an optional hosted cloud for access control and audit logs.

Chat with your data — an AI data analyst for CSVs, sheets, and DBs.

An AI data analyst that lets you upload CSVs, Excel, and Google Sheets, then ask questions in plain language to clean, analyze, visualize, and model your data. It writes and runs Python behind the scenes and can generate charts, slides, and reports from the results. Pro plans add direct connectors to live databases like Snowflake, BigQuery, and Postgres.

Agentic analytics notebook for SQL, Python, and R data teams.

A collaborative data workspace combining SQL, Python, and R notebooks with shareable data apps. Its Notebook Agent and Magic AI generate queries, debug code, run exploratory analysis, and build visualizations as editable notebook cells. Built for data teams that need reproducible, governed analysis rather than one-off chat answers.