microsoft/lida
Automatic Generation of Visualizations and Infographics using Large Language Models
Treats visualizations as executable code rather than static outputs, enabling a full pipeline of generation, editing, explanation, evaluation, and repair through natural language interactions. Supports multiple LLM providers (OpenAI, Azure, PaLM, Cohere, HuggingFace) and visualization libraries (matplotlib, seaborn, Altair, D3) through grammar-agnostic code generation. Includes data summarization, goal-based chart recommendation, and infographic generation capabilities, with optional web UI and REST API for interaction.
3,222 stars and 6,280 monthly downloads. No commits in the last 6 months. Available on PyPI.
Stars
3,222
Forks
371
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 08, 2024
Monthly downloads
6,280
Commits (30d)
0
Dependencies
20
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