JupyterLab alternatives and similar software solutions
Based on the "IDE/Tools" category.
Alternatively, view JupyterLab alternatives based on common mentions on social networks and blogs.
8.3 9.9 L2 JupyterLab VS RStudio ServerRStudio is an integrated development environment (IDE) for R
7.7 0.0 JupyterLab VS ZaleniumA flexible and scalable container based Selenium Grid with video recording, live preview, basic auth & dashboard.
7.3 4.9 JupyterLab VS ML-Workspace🛠 All-in-one web-based IDE specialized for machine learning and data science.
7.1 5.3 JupyterLab VS SelenoidSelenium Hub successor running browsers within containers. Scalable, immutable, self hosted Selenium-Grid on any platform with single binary.
6.2 3.7 JupyterLab VS TheiaTheia applications examples - docker images, desktop apps, packagings
5.9 5.1 JupyterLab VS Judge0 API🔥 The most advanced open-source online code execution system in the world.
3.7 0.0 JupyterLab VS GitpodDEPRECATED since Gitpod 0.5.0; use https://github.com/gitpod-io/gitpod/tree/master/chart and https://github.com/gitpod-io/gitpod/tree/master/install/helm
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of JupyterLab or a related project?
An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture. Currently ready for users.
JupyterLab is the next-generation user interface for Project Jupyter offering all the familiar building blocks of the classic Jupyter Notebook (notebook, terminal, text editor, file browser, rich outputs, etc.) in a flexible and powerful user interface. JupyterLab will eventually replace the classic Jupyter Notebook.
JupyterLab can be extended using npm packages that use our public APIs. The prebuilt extensions can be distributed via PyPI, conda, and other package managers. The source extensions can be installed directly from npm (search for jupyterlab-extension) but require additional build step. You can also find JupyterLab extensions exploring GitHub topic jupyterlab-extension. To learn more about extensions, see the user documentation.
The current JupyterLab releases are suitable for general usage, and the extension APIs will continue to evolve for JupyterLab extension developers.
Read the current JupyterLab documentation on ReadTheDocs.
- If you use conda:
shell conda install -c conda-forge jupyterlab
- If you use mamba:
shell mamba install -c conda-forge jupyterlab
- If you use pip:
shell pip install jupyterlabIf installing using
pip install --user, you must add the user-level
bindirectory to your
PATHenvironment variable in order to launch
jupyter lab. If you are using a Unix derivative (e.g., FreeBSD, GNU/Linux, macOS), you can do this by running
export PATH="$HOME/.local/bin:$PATH". If you are using a macOS version that comes with Python 2, run
For more detailed instructions, consult the installation guide. Project installation instructions from the git sources are available in the [contributor documentation](CONTRIBUTING.md).
Installing with Previous Versions of Jupyter Notebook
When using a version of Jupyter Notebook earlier than 5.3, the following command must be run after installing JupyterLab to enable the JupyterLab server extension:
jupyter serverextension enable --py jupyterlab --sys-prefix
Start up JupyterLab using:
JupyterLab will open automatically in the browser. See the documentation for additional details.
If you encounter an error like "Command 'jupyter' not found", please make sure
PATH environment variable is set correctly. Alternatively, you can start up JupyterLab using
~/.local/bin/jupyter lab without changing the
PATH environment variable.
Prerequisites and Supported Browsers
The latest versions of the following browsers are currently known to work:
See our documentation for additional details.
We encourage you to ask questions on the Discourse forum. A question answered there can become a useful resource for others.
To report a bug please read the guidelines and then open a Github issue. To keep resolved issues self-contained, the lock bot will lock closed issues as resolved after a period of inactivity. If related discussion is still needed after an issue is locked, please open a new issue and reference the old issue.
We also welcome suggestions for new features as they help make the project more useful for everyone. To request a feature please use the feature request template.
To contribute code or documentation to JupyterLab itself, please read the contributor documentation.
JupyterLab follows the Jupyter Community Guides.
JupyterLab uses a shared copyright model that enables all contributors to maintain the copyright on their contributions. All code is licensed under the terms of the revised BSD license.
JupyterLab is part of Project Jupyter and is developed by an open community. The maintenance team is assisted by a much larger group of contributors to JupyterLab and Project Jupyter as a whole.
JupyterLab's current maintainers are listed in alphabetical order, with affiliation, and main areas of contribution:
- Mehmet Bektas, Netflix (general development, extensions).
- Alex Bozarth, IBM (general development, extensions).
- Eric Charles, Datalayer, (general development, extensions).
- Frédéric Collonval, QuantStack (general development, extensions).
- Martha Cryan, IBM (general development, extensions).
- Afshin Darian, Two Sigma (co-creator, application/high-level architecture, prolific contributions throughout the code base).
- Vidar T. Fauske, JPMorgan Chase (general development, extensions).
- Brian Granger, AWS (co-creator, strategy, vision, management, UI/UX design, architecture).
- Jason Grout, Databricks (co-creator, vision, general development).
- Michał Krassowski, University of Oxford (general development, extensions).
- Max Klein, JPMorgan Chase (UI Package, build system, general development, extensions).
- Gonzalo Peña-Castellanos, QuanSight (general development, i18n, extensions).
- Fernando Perez, UC Berkeley (co-creator, vision).
- Isabela Presedo-Floyd, QuanSight Labs (design/UX).
- Steven Silvester, MongoDB (co-creator, release management, packaging, prolific contributions throughout the code base).
- Jeremy Tuloup, QuantStack (general development, extensions).
- Chris Colbert, Project Jupyter (co-creator, application/low-level architecture, technical leadership, vision, PhosphorJS)
- Jessica Forde, Project Jupyter (demo, documentation)
- Tim George, Cal Poly (UI/UX design, strategy, management, user needs analysis).
- Cameron Oelsen, Cal Poly (UI/UX design).
- Ian Rose, Quansight/City of LA (general core development, extensions).
- Andrew Schlaepfer, Bloomberg (general development, extensions).
- Saul Shanabrook, Quansight (general development, extensions)
This list is provided to give the reader context on who we are and how our team functions. To be listed, please submit a pull request with your information.
Weekly Dev Meeting
We have videoconference meetings every week where we discuss what we have been working on and get feedback from one another.
Anyone is welcome to attend, if they would like to discuss a topic or just to listen in.
- When: Wednesdays 9AM Pacific Time
- What: Meeting notes - Notes are now taken on Binder using JupyterLab with RTC.
Notes are archived on GitHub JupyterLab team compass.
*Note that all licence references and agreements mentioned in the JupyterLab README section above are relevant to that project's source code only.