jupyterlab
JupyterLab computational environment
Install
jupyterlab on PyPI
pip
pip install jupyterlabuv
uv add jupyterlabpoetry
poetry add jupyterlabPackage facts
| License | Copyright (c) 2015-2025 Project Jupyter Contributors All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following… (full text in the JSON record) (permissive) |
| Python support | supports the current Python release (>=3.10) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 15 — async-lru, httpx, ipykernel, jinja2, jupyter-builder, jupyter-core, jupyter-lsp, jupyter-server, jupyterlab-server, notebook-shim, packaging, tomli, tornado, traitlets, typing-extensions |
| Maintenance | actively maintained — 3 days since the last release |
| Last repo commit | |
| First released | |
| Popularity | one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-13) |
Evidence: jupyterlab-4.6.3-py3-none-any.whl
Keywords: ipython, jupyter
About jupyterlab
from the package's own PyPI description — quoted content, verbatim
Installation | Documentation | Contributing | License | Team | Getting help |
JupyterLab
PyPI version (image) PyPI Downloads (image) Build Status (image) Build Status (image) [![Documentation...
Read as markdown · JSON record · Source repository · Homepage · Docs
AI interpretation — verify before relying
AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page
JupyterLab is a next-generation web-based interactive computing environment that provides notebooks, terminals, text editors, and file browsers in a flexible, extensible interface for reproducible scientific and data work.
Low install friction with a pure-Python wheel distribution. Active maintenance with a release just 3 days ago and ongoing commits; supports Python 3.10–3.14. Depends on 15 runtime packages including jupyter-server, ipykernel, and tornado, all standard Jupyter ecosystem components.
BSD license (permissive) allows commercial and private use with minimal restrictions; retain copyright notice and disclaimer in distributions.
Usage
pip install jupyterlab
jupyter lab
Requires Python ≥3.10. If using pip install --user, the user-level bin directory must be added to PATH to run the jupyter command.
Verdict: JupyterLab 4.6.3 is a production-stable, actively maintained interactive computing platform with no known vulnerabilities, low install friction, and permissive licensing. It is well-suited for scientific computing, data analysis, and reproducible research workflows.
Needs verification
- Whether the 15 runtime dependencies introduce any transitive security or maintenance concerns not captured at the top level.
- Performance characteristics or resource requirements for typical deployment scenarios.
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