README Documentation
Zaturn: Your Co-Pilot For Data Analytics & Business Insights
Just Chat With Your Data! No SQL, No Python.
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 in Action
https://github.com/user-attachments/assets/d42dc433-e5ec-4b3e-bef0-5cfc097396ab
Features:
Multiple Data Sources
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
Visualizations
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
Installation & Setup
See https://zaturn.pro/docs/install
Roadmap
- 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
Help And Feedback
Support The Project
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.
Example Dataset Credits
The pokemon dataset compiled by Sarah Taha and PokéAPI has been included under the CC BY-NC-SA 4.0 license for demonstration purposes.