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

Free Trial:
Free Trial available.

Integrations

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Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 4.0 / 5
support 4.0 / 5
More Reviews Write a Review

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?
Q: What languages does JupyterLab support in their product?
Q: What kind of support options does JupyterLab offer?
Q: What other applications or services does JupyterLab integrate with?
Q: What type of training does JupyterLab provide?
Q: Does JupyterLab offer a free trial?

JupyterLab Product Features

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

JupyterLab Verified User Reviews

Write a Review
  • A JupyterLab User
    Principal Software Engineer
    Used the software for: Less than 6 months
    Frequency of Use: Monthly
    User Role: User
    Company Size: 100 - 499
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "The next-gen version of Jupyter Notebook"

    Edited 2022-08-12

    Pros: - much better interface than the original Jupyter, including a filesystem GUI
    - multi-tab and window view in a single browser page
    - simplified interface option
    - updated document formatting settings
    - multiple themes built in
    - runs on the same hardware that Jupyter Notebook runs on
    - supports over 100 programming languages
    - free

    Cons: - requires some technical knowledge to set up on a cloud environment, similar to Jupyter Notebook

    Overall: Jupyter Lab is a welcome upgrade to the Jupyter Notebook interface, allowing for a better cloud-based IDE experience.

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