Zaturn provides tools that enable AI models to run SQL, so you don't have to. It can be used as an MCP or as a web interface similar to Jupyter Notebook.
zaturn.mp4
Zaturn can currently connect to the following data sources:
- SQL Databases: PostgreSQL, SQLite, DuckDB, MySQL, ClickHouse, SQL Server, BigQuery
- Files: CSV, Parquet
Request data source by raising an issue
In addition to providing tabular and textual summaries, Zaturn can also generate the following image visualizations
- Scatter and Line Plots
- Histograms
- Strip and Box Plots
- Bar Plots
- Density Heatmap (aka. 2D Histograms)
- Polar Scatter and Line Plots
Request visualizations by raising an issue
See https://zaturn.pro/docs/install
- Support for more data source types & more data visualizations as per community requests
- Dashboard building: Pin queries and visuals to re-run without LLM calls.
- Multi-user capabilities
- Predictive Analytics and ML features
If you find Zaturn useful, please support this project by:
- Starring the project
- Sponsoring the development
- Spreading the word
Your support will enable me to dedicate more of my time to Zaturn.
The pokemon dataset compiled by Sarah Taha and PokéAPI has been included under the CC BY-NC-SA 4.0 license for demonstration purposes.