jupyterlab

    jupyterlab/jupyter-ai

    An open source extension that connects AI agents to computational notebooks in JupyterLab.

    backend
    acp
    agents
    jupyter
    jupyterlab
    jupyterlab-extension
    Python
    BSD-3-Clause
    4.4K stars
    538 forks
    4.4K GitHub watchers
    Updated Nov 1, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 59 days ago, with 65 contributors on GitHub.

    Gained 44% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Connects generative AI models to Jupyter notebooks via magic commands and a native chat interface in JupyterLab.
    • Enables seamless integration of multiple AI providers and local models for flexible, privacy-conscious AI-assisted notebook workflows.
    • Use for enhancing data science notebooks with AI-generated code, explanations, and visualizations interactively.
    • Use for building conversational AI assistants within JupyterLab to support exploratory programming and research.
    • Use for experimenting with various generative AI models from providers like OpenAI, Hugging Face, and local GPT4All in a reproducible environment.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    BSD 3-Clause

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Jupyter AI is under incubation as part of the JupyterLab organization.

    Jupyter AI connects generative AI with Jupyter notebooks. Jupyter AI provides a user-friendly and powerful way to explore generative AI models in notebooks and improve your productivity in JupyterLab and the Jupyter Notebook. More specifically, Jupyter AI offers:

    Documentation is available on ReadTheDocs.

    You will need to have installed the following software to use Jupyter AI:

    In addition, you will need access to at least one model provider.

    To use any AI model provider within this notebook, you'll need the appropriate credentials, such as API keys.

    Obtain the necessary credentials, such as API keys, from your model provider's platform.

    You can set your keys in a code cell in your notebook or using environment variables. In a code cell, you can set the credentials as follows without revealing your key in the notebook:

    :::{note} :name: using-env-key You may also set these keys directly using the %env magic command, but the key value may be echoed in the cell output. If you prefer to use %env, be sure to not share the notebook with people you don't trust, as this may leak your API keys.

    For more specific instructions for each model provider, refer to the model providers documentation.

    Excerpt from the jupyterlab/jupyter-ai README on GitHub (BSD-3-Clause license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    538+17

    Open issues

    324+24

    Compared with peers in Backend

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