jupyterlab
JupyterLab computational environment
Decision gist · record as of 2026-08-14
Yes. JupyterLab is production-stable (Development Status 5), actively maintained with recent releases, has no known vulnerabilities, and runs on modern Python versions (3.10–3.14). It has low install friction and is widely adopted (top 1000 PyPI packages by downloads). Install it if you need an interactive computing environment for research, data science, or exploratory development.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- If installing with pip install --user, the user-level bin directory must be added to PATH to run the jupyter command.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
permissive license (permissive) — Licensed under the revised BSD license (permissive). You can use, modify, and distribute JupyterLab freely with minimal restrictions, provided you retain copyright notices and disclaimers.
last release 2026-08-10 (4 days) · last repo commit 2026-08-13 · 15,252 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 55,814,597 downloads/mo, #532 on PyPI
Alternatives
Verify before relying
pip install jupyterlab
jupyter lab- Whether the 15 runtime dependencies introduce any transitive security concerns or version conflicts in your environment.
- Performance characteristics and memory footprint for large notebooks or many concurrent extensions.
- Compatibility with specific Jupyter Notebook versions earlier than 5.3 (documentation mentions a serverextension enable step for older versions).
What it is and what it does
JupyterLab is the next-generation web interface for Project Jupyter, replacing the classic Jupyter Notebook with a flexible, modular environment for interactive and reproducible computing. It combines notebooks, terminals, text editors, file browsers, and rich output rendering in a single browser-based workspace. The package depends on jupyter-server, ipykernel, tornado, and other core Jupyter components to deliver its interactive kernel communication, web serving, and extension system.
You install it via pip or conda and launch it with `jupyter lab`, which opens in your browser. It's designed for data scientists, researchers, and developers who need to write, test, and document code interactively. The architecture is extensible—you can add custom functionality via npm packages (prebuilt extensions distributed through PyPI) or develop source extensions that require a build step. JupyterLab 3 reached end of maintenance on May 15, 2024; version 4.6.3 is the current stable release.
Use it for
- Write and execute Python, R, or Julia code interactively with live output and rich visualizations in a single notebook.
- Develop and debug scripts using the integrated terminal and text editor alongside notebook cells.
- Organize multiple notebooks, data files, and scripts in a unified file browser and switch between them without leaving the interface.
- Build reproducible research documents combining code, markdown narrative, and outputs for sharing or publication.
- Extend JupyterLab with custom tools and workflows via npm-based extensions for domain-specific tasks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
JupyterLab is production-stable (Development Status 5), actively maintained with recent releases, has no known vulnerabilities, and runs on modern Python versions (3.10–3.14). It has low install friction and is widely adopted (top 1000 PyPI packages by downloads). Install it if you need an interactive computing environment for research, data science, or exploratory development.
Install
jupyterlab on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with a release 4 days ago. Supports Python 3.10 through 3.14 and has 15252 GitHub stars, indicating a mature, well-resourced project.
Requires Python 3.10 or later. If installing with pip install --user, the user-level bin directory must be added to PATH to run the jupyter command.
License in practice
Licensed under the revised BSD license (permissive). You can use, modify, and distribute JupyterLab freely with minimal restrictions, provided you retain copyright notices and disclaimers.
Quickstart
pip install jupyterlab
jupyter labVerify before relying
- Whether the 15 runtime dependencies introduce any transitive security concerns or version conflicts in your environment.
- Performance characteristics and memory footprint for large notebooks or many concurrent extensions.
- Compatibility with specific Jupyter Notebook versions earlier than 5.3 (documentation mentions a serverextension enable step for older versions).
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 15 packagesasync-lruhttpxipykerneljinja2jupyter-builderjupyter-corejupyter-lspjupyter-serverjupyterlab-servernotebook-shimpackagingtomlitornadotraitletstyping-extensions |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 55,814,597 / month, #532 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: JupyterFramework :: Jupyter :: JupyterLabFramework :: Jupyter :: JupyterLab :: 4Intended Audience :: DevelopersIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: jupyterlab-4.6.3-py3-none-any.whl
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See also notebook · nbclassic · jupyter · jupyter-collaboration-ui · ipympl · jupyter-server · jupyter-collaboration · jupyter-lsp · jupyterlab-code-formatter · jupyter-server-proxy