
Together Open Data ScientistOpen-source ReAct agent that runs Python to explore data, build models, and generate analysis reports
Overview
Key features
- ReAct reasoning-and-acting agent loop
- Two execution modes: local Docker or Together Code Interpreter cloud
- Automatic data directory upload for analysis
- Markdown report generation with --write-report
- Configurable model and maximum reasoning iterations
- Command-line interface and programmatic Python API
Pricing
- Model
- Free
- Category
- AI Data Analysts
- Rating
- 4.3 / 5 (4)
Use cases
Automated Dataset Exploration
Run the agent on a new dataset to perform exploratory data analysis with Python and receive a detailed report of findings.
Model Building Assistance
Use the agent to prototype and build machine learning models on your data, either locally or in the cloud.
Analysis Report Generation
Generate detailed written analysis reports summarizing dataset insights and model results for stakeholders.
Local or Cloud Python Workflows
Execute Python-based data science tasks flexibly on a local machine or in cloud environments depending on compute needs.
Pros & Cons
Pros
- Open source and self-hostable
- Runs real Python code locally via Docker or in the cloud via TCI
- Model-agnostic, with configurable underlying LLM and iteration count
- CLI and Python API, plus automatic report and trace generation
Cons
- Explicitly experimental; AI-generated code may contain errors
- Requires human review and not suited for production decisions
- Docker mode has session isolation and security limitations
- Tied to a Together AI API key for cloud execution
Battle record
Across 1 battle in the Pantheon.
Last battle
Reviews
Average from 4 ratings.
Sign in to leave a review.
Solid for our team
We rolled this out across the team last quarter and the value for money is strong. The integrations fits neatly into how we already work, and the automation removed a step we used to do by hand. A few rough edges remain, which is the main caveat, but it has held up under daily use.
Years in this space
I've evaluated a lot of these over the years. What stands out here is the API — handled better than most — and it is genuinely easy to set up. A few rough edges remain is my one real gripe. Worth the time if this is your use case.
Use it every day
Honestly didn't expect to like it this much. The API is exactly what I needed, and it saves real time. I do wish the docs could be deeper, but I reach for it almost every day now and it just clicks.
Does the job
Pretty happy overall. The core workflow just works and support is responsive. The docs could be deeper can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.
Q&A
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