jupyterlab/jupyter-ai
An open source extension that connects AI agents to computational notebooks in JupyterLab.
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.
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
%envmagic 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.
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
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 |
|---|---|---|---|---|
| anthropics/skills | 187.8K | +2.9K | 15 | — |
| DuarteSantos8/openGym | 19.7K | +2.4K | 60 | 2 days ago |
| shiyu-coder/Kronos | 47.0K | +2.3K | 16 | — |
| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| jupyterlab/jupyter-ai | 4.4K | — | 57 | 59 days ago |
| Category median | 56.0K | +2.3K | 29 | — |
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