The best open-source data science agent so far

Data Copilot — it can build an entire notebook workflow from a single prompt.

If you've worked in data science, you know how most AI coding tools fall short when it comes to Jupyter Notebooks. They don't handle the notebook structure well — no context, no new cells, no real understanding of the data flow.

Data Copilot changes that. It feels like Cursor, but built for data scientists.

I just drop it into my Jupyter environment, and it picks up the context of my files and datasets automatically.

*It's open source — install it in seconds: pip install mito-ai mitosheet

Here's what I've seen it do:

• From a single prompt, build a full machine learning notebook, including data importing, data cleaning, model training and testing

• Take a notebook and swap all of the Matplotlib code for Plotly code

• Automatically catch errors and debug them

We've seen great AI tools for software developers. Data Copilot is one of the first tools that is excellent for Data Science workflows.

Key features:

• An AI agent for full notebook creation and editing
• An AI Chat for editing specific cells
• Automatic error debugging from the AI
• Visual edits for DataFrames and Charts

Guest post by Alex

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