Audience

Developers searching for a solution to develop open-source software, open-standards, and services for interactive computing

About JupyterLab

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.

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Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.
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Pricing

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Integrations

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Ratings/Reviews

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ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Company Information

Jupyter
Founded: 2014
jupyter.org

Videos and Screen Captures

JupyterLab Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

JupyterLab Frequently Asked Questions

Q: What kinds of users and organization types does JupyterLab work with?
JupyterLab works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does JupyterLab support in their product?
JupyterLab supports these languages: English.
Q: What kind of support options does JupyterLab offer?
JupyterLab offers support via online.
Q: What other applications or services does JupyterLab integrate with?
JupyterLab integrates with: Apache Spark, C++, CodeSquire, CSS, Docker, Domino Enterprise AI Platform, Fosfor Decision Cloud, Google Cloud Deep Learning VM Image, HTML, Intel Tiber AI Cloud, Java, JetBrains DataSpell, JSON, Julia, Jupyter Notebook, JupyterHub, Kubernetes, neptune.ai, OAuth, Octave, Python, R, Scala, and Scheme and more.
Q: What type of training does JupyterLab provide?
JupyterLab provides training in the form of documentation.
Q: Does JupyterLab offer a free trial?
Yes, JupyterLab offers a free trial.

JupyterLab Product Features

IDE

Code Completion Not Supported
Compiler Not Supported
Cross Platform Support Not Supported
Debugger Not Supported
Drag and Drop UI Not Supported
Integrations and Plugins Not Supported
Multi Language Support Not Supported
Project Management Not Supported
Text Editor / Code Editor Not Supported