ai-data-science-team
An AI-powered data science team that helps you complete common data science tasks faster.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 5.3k
- Views
- 2
- Source
- GitHub
- Added
- 2026-06-06
- Last verified
- 2026-06-06
Overview
AI Data Science Team is a Python library featuring intelligent agents designed for typical data science workflows, along with its flagship application: AI Pipeline Studio. It accelerates tasks such as data loading, cleaning, visualization, and modeling. Ideal for data scientists and analysts looking to improve data processing efficiency.
Key features
- ▪10x acceleration of data science tasks
- ▪Visualizable and reproducible workflows
- ▪Supports multi-dataset processing and merging
- ▪Provides multiple data science tool agents
Use cases
Pros
- ＋Easy to install and use
- ＋Supports OpenAI and local models
- ＋Covers a wide range of data science tasks
Limitations / notes
- －Currently in Beta stage, subject to changes
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
How do I get started with AI Data Science Team?
Clone the repository and install it in editable mode, then run the AI Pipeline Studio application.
Which Python versions are supported?
Supports Python 3.10 and above.
Similar agents
llm_wiki
LLM Wiki is a cross-platform desktop application that automatically transforms documents into organized, interlinked knowledge bases.
ai-berkshire
An AI-powered multi-agent parallel research framework providing professional-grade investment decision support.
go-stock
An AI stock analysis tool based on large language models, supporting A-shares, Hong Kong stocks, and U.S. stocks.
chartbrew
An open-source reporting platform that enables building and sharing real-time dashboards from APIs and databases.
Lium AI
Lium AI is a platform for complex data analysis and workflow automation.
MiroFish
A simple and versatile swarm intelligence engine for predicting various events.
Something wrong? Let us know on the About page and we'll fix it.