business-science/ai-data-science-team

Health v2 · maintenance only

Adoption not part of the score

5385 stars · 924 forks observed · 2026-08-28

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

A Python library of specialized LLM-powered agents for common data science workflows such as data loading, cleaning, wrangling, visualization, EDA, and modeling. It also ships AI Pipeline Studio, a Streamlit app that turns agent work into visual, reproducible pipelines.

Use cases

• automate data cleaning with an AI agent
• generate EDA and visualizations from a dataframe using LLMs
• build machine learning pipelines with AI assistance
• run a team of AI agents for data science tasks
• create reproducible data science pipelines visually
• query SQL databases with natural language agents

When to choose

• you want LLM-driven automation of routine data science workflows in Python
• you use OpenAI or local Ollama models and want agent building blocks
• you want a visual pipeline app with lineage and reproducible scripts

When to avoid

• you need a stable, production-hardened tool - the project is in beta with breaking changes expected
• you want fully deterministic pipelines without LLM involvement
• you cannot use OpenAI or local LLM backends

Facets

library · maturity experimental

agent-framework machine-learning data-science data-visualization etl chatbot data-science machine-learning artificial-intelligence developer-tools python cross-platform multi-agent llm-agents openai streamlit data-cleaning eda mlflow copilot generative-ai ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="business-science/ai-data-science-team")