Microsoft's AI data viz tool skips the code wall
An open-source canvas where analysts ask questions in plain English and get editable, branchable charts instead of unreadable agent output.

What it does
Data Formulator is a browser-based data exploration tool that connects to databases, warehouses, files, and even screenshots, then lets you query and visualize through natural language. It runs locally via Python (uvx data_formulator or pip) and opens at localhost:5567. The latest v0.7 adds persistent workspaces, a semantic chart engine with 30+ chart types, and report export to image or PDF.
The interesting bit The “Data Thread” keeps your exploration navigable: you can revisit earlier steps, branch into alternative analyses, and compare side by side. That’s the hard part of AI-assisted analysis — not generating one chart, but not losing your place when you iterate. The style-refinement agent also lets you polish rough charts through natural language rather than fiddling with Vega-Lite by hand.
Key highlights
- Connectors for Superset, Kusto, Cosmos DB, MySQL, PostgreSQL, MSSQL, BigQuery, S3, Azure Blob, and a plugin system for custom sources
- Data extraction from images, text, websites, and Excel via a loading agent
- Sandboxed code execution with thread memory for context-aware exploration
- Multilingual UI (English and Chinese, more via contributions)
- Model-agnostic: OpenAI, Azure, Ollama, Anthropic through LiteLLM
Caveats
- Requires bringing your own LLM API keys; no built-in model
- v0.7 is fresh (May 2026), so the connector and workspace features are still settling
- Microsoft CLA required for contributions
Verdict Worth a spin for data teams tired of pasting between Jupyter, BI tools, and ChatGPT. Not for you if you need fully governed enterprise permissions or prefer writing D3 by hand.