jupyternaut-lite
The Jupyternaut persona of Jupyter AI, running in the browser.
AI code completions and chat for JupyterLab, Notebook 7 and JupyterLite.
a screencast showing the Jupyter AI Lite extension in JupyterLite
Requirements
- JupyterLab >= 4.5.0 or Notebook >= 7.5.0
Try it in your browser
You can try the extension in your browser using JupyterLite:
Install
To install the extension, execute:
pip install jupyternaut-lite
To install requirements (JupyterLab, JupyterLite and Notebook):
pip install jupyternaut-lite[jupyter]
Documentation
For detailed usage instructions, including how to configure AI providers, see the documentation.
Uninstall
To remove the extension, execute:
pip uninstall jupyternaut-lite jupyter-ai-agent-lite
Contributing
See CONTRIBUTING
Release files for jupyternaut-lite 0.21.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| jupyternaut_lite-0.21.0.tar.gz | 505.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jupyternaut_lite-0.21.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.5 MB
Release files / jupyternaut_lite-0.21.0.tar.gz
| Download URL | jupyternaut_lite-0.21.0.tar.gz |
|---|---|
| Size | 505.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
135a4d4e8240ef523d9014dc27bc2a053268ec61f5cfac528cf471c893126066
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BLAKE2b-256 checksum How to use checksums |
14338bcbd23530a6416b0ff3ba5b09153826b49881f5bca1963664b9acedde68
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.12.15
|
Release files / jupyternaut_lite-0.21.0-py3-none-any.whl
| Download URL | jupyternaut_lite-0.21.0-py3-none-any.whl |
|---|---|
| Size | 1.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f9f41ecb9e040c0ab8bd0ca498c82313db6dc4ec3def119dd8aa28a814418103
|
|
BLAKE2b-256 checksum How to use checksums |
4781f64f3de8974d37678bf990cf486a39dd5a744f25aa3cfa966e483dfef5c5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.12.15
|
Security for jupyternaut-lite 0.21.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
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To learn more about protecting yourself from malicious actors, visit our package security documentation.
