microsoft/lida

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3273 stars · 381 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LIDA is a Python library from Microsoft that uses large language models to automatically generate, execute, edit, explain, evaluate, and repair data visualizations and infographics. It is grammar-agnostic (works with matplotlib, seaborn, altair, d3, etc.), supports multiple LLM providers (OpenAI, Azure OpenAI, PaLM, Cohere, Huggingface), and includes an optional web API and UI.

Use cases

• generate charts from a csv file using an llm
• automate exploratory data analysis visualizations
• create infographics from data with ai
• explain or repair existing visualization code
• recommend what charts to plot for my dataset
• summarize a dataset's semantics for visualization
• edit charts via natural language

When to choose

• you want LLM-driven automatic chart generation from tabular data
• you need visualization goal exploration for EDA
• you want a provider-agnostic library supporting OpenAI, PaLM, Cohere, etc.
• you want a Python API plus optional web UI for interactive charting

When to avoid

• you need deterministic, non-LLM charting with no API costs
• you cannot run generated code in a secure sandboxed environment
• you need a fully stable production-grade tool rather than research software
• your data cannot be sent to third-party LLM providers

Facets

library · maturity active

data-visualization llm-inference prompt-engineering data-science data-visualization large-language-models data-science artificial-intelligence python cross-platform exploratory-data-analysis infographics chart-generation visualization-as-code grammar-agnostic openai cohere palm2 web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="microsoft/lida")