Together Open Data Scientist
Overview
Open-source data scientist agent that runs Python (locally or in the cloud) to explore datasets, build models, and generate detailed analysis reports using the ReAct framework.
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Together Open Data Scientist is an open-source AI data analysis agent built around the ReAct (Reasoning + Acting) pattern. It automates common end-to-end data science workflows: loading and exploring datasets, running EDA, engineering features, training baseline models, creating plots, and writing a structured report. The agent can execute Python code either locally (via Docker/internal execution) or in the cloud using Together Code Interpreter (TCI), and it supports uploading a data directory for analysis. It’s positioned as experimental software—outputs should be reviewed and validated—making it most useful for exploration, learning, and fast first-pass analysis rather than unattended production analytics.
Autonomy level
65/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
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Some of the use cases of Together Open Data Scientist:
- Running quick exploratory data analysis (EDA) and generating summary statistics across uploaded CSV/JSON datasets.
- Creating baseline ML models, evaluating results, and iterating on approaches with an agentic loop.
- Auto-generating a readable analysis report (including visuals) from a dataset with minimal setup.
- Prototyping agentic analytics workflows that execute Python safely via local Docker or cloud code interpreter.
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Popularity level: 30%
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