DataPyn
SQL + Python blocks
Mix queries and scripts in one session. Run blocks independently and keep context between steps.
Tauri desktop · SQL + Python
One workspace for queries, pipelines, and analysis.
The current DataPyn desktop app is built with Tauri: SQL and Python blocks, Monaco editing, result grids, and Pynia in one workspace. Native installers include the Python runtime.
Built for real data work
From ad-hoc SQL to reproducible Python — without leaving the editor.
Schema-aware editing
Autocomplete, validation, and cross-database references — even offline.
Many databases
SQL Server, PostgreSQL, MySQL, MariaDB, SQLite, and Databricks.
Sessions & projects
Save sessions and workspaces as .dpw files, organize connections, and arrange dockable panels.
Monaco editor
Familiar editing with themes, minimap, and inline completions tuned for SQL and Python.
Export & share
Import CSV, JSON, and XLSX data, export results, and save your analysis as a standalone Python script.
Tauri desktop, Python included
Native installers with the Python runtime and isolated kernels for each session.
Pynia
Your coding agent, with session context
Pynia connects your coding agent to the active session: connection, schema, blocks, results, and selection. Use its tools to write SQL and Python, inspect data, and run blocks.
- Your choice of agent Claude, Cursor, GitHub Copilot, and Codex through the Agent Client Protocol (ACP).
- Context-aware Uses the active connection, schema, and editor selection when you ask.
- SQL + Python Suggests queries, refactors blocks, and helps with pandas-style follow-ups.
Agents use their own installation and login. Some require a subscription. Choose and configure your agent in the Pynia panel.
Connect to your stack
Native drivers and familiar connection dialogs.
SQL Server
PostgreSQL
MySQL
MariaDB
SQLite
Databricks
Quick start
Install on Windows, Linux, or macOS, then connect and run your first block.
1
Download DataPyn
Get the latest Tauri installer for your operating system. The Python runtime is included.
2
Add a connection
Open Connections and register your database.
3
Enable Pynia (optional)
Open the Pynia panel, choose Claude, Cursor, GitHub Copilot, or Codex, and follow the agent setup instructions.
4
Run SQL and Python
Create SQL and Python blocks, execute with F5, and continue your analysis with the results and Pynia panels.
Documentation
Guides for connections, sessions, Pynia, and advanced SQL.
Ready to work smarter with your data?
Download DataPyn, connect your databases, and meet Pynia in the chat panel.
Download for Windows