business-science/ai-data-science-team
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 320 days ago, with 2 contributors on GitHub.
Peaked at #4 in the weekly ranking the week of Jan 25, its best in the past year.
Use Cases & Benefits
- Provides a Python library of AI-powered agents and a visual app to automate common data science tasks and build reproducible pipelines.
- Accelerates data science workflows by combining specialized AI agents with a pipeline-first visual editor for end-to-end automation and reproducibility.
- Use for automating data loading, cleaning, and feature engineering with AI agents to speed up preprocessing steps.
- Use for creating visual, reproducible machine learning pipelines integrating data exploration, modeling, and evaluation with MLflow support.
- Use for building multi-agent workflows that interact with SQL databases and perform advanced data analysis using AI-driven tools.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
- No commits in the last six months (last push Jan 2026).
General guidance from repository metadata, not legal advice. How we score
From the README
AI Data Science Team + AI Pipeline Studio
AI Data Science Team is a Python library of specialized agents for common data science workflows, plus a flagship app: AI Pipeline Studio. The Studio turns your work into a visual, reproducible pipeline, while the AI team handles data loading, cleaning, visualization, and modeling.
Status: Beta. Breaking changes may occur until 0.1.0.
AI Pipeline Studio is the main example of the AI Data Science Team in action.
Full app docs:
apps/ai-pipeline-studio-app/README.md
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
945+22
Open issues
41+12
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| business-science/ai-data-science-team | 5.5K | — | 14 | 320 days ago |
| Category median | 98.1K | +5.2K | 45 | — |
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