JupyterLab Description

Project Jupyter is dedicated to the creation of open-source tools, standards, and services that facilitate interactive computing in numerous programming languages. At the heart of this initiative is JupyterLab, a web-based interactive development environment designed for Jupyter notebooks, coding, and data manipulation. JupyterLab offers remarkable flexibility, allowing users to customize and organize the interface to cater to various workflows in fields such as data science, scientific research, and machine learning. Its extensibility and modular nature enable developers to create plugins that introduce new features and seamlessly integrate with existing components. The Jupyter Notebook serves as an open-source web application enabling users to produce and share documents that incorporate live code, mathematical equations, visualizations, and descriptive text. Common applications of Jupyter include data cleaning and transformation, numerical simulations, statistical analysis, data visualization, and machine learning, among others. Supporting over 40 programming languages—including popular ones like Python, R, Julia, and Scala—Jupyter continues to be a valuable resource for researchers and developers alike, fostering collaborative and innovative approaches to computing challenges.

JupyterLab Alternatives
Windsurf Editor Reviews
Windsurf Editor
(144 Ratings)
Windsurf is a cutting-edge IDE designed for developers to maintain focus and productivity through AI-driven assistance. At the heart of the platform is Cascade, an intelligent agent that not only fixes bugs and errors but also anticipates potential issues before they arise. With built-in features for real-time code previews, automatic linting, and seamless integrations with popular tools like GitHub and Slack, Windsurf streamlines the development process. Developers can also benefit from memory tracking, which helps Cascade recall past work, and smart suggestions that enhance code optimization. Windsurf’s unique capabilities ensure that developers can work faster and smarter, reducing onboarding time and accelerating project delivery.
Learn more
Google AI Studio Reviews
Google AI Studio
(9 Ratings)
Google AI Studio is a user-friendly, web-based workspace that offers a streamlined environment for exploring and applying cutting-edge AI technology. It acts as a powerful launchpad for diving into the latest developments in AI, making complex processes more accessible to developers of all levels. The platform provides seamless access to Google's advanced Gemini AI models, creating an ideal space for collaboration and experimentation in building next-gen applications. With tools designed for efficient prompt crafting and model interaction, developers can quickly iterate and incorporate complex AI capabilities into their projects. The flexibility of the platform allows developers to explore a wide range of use cases and AI solutions without being constrained by technical limitations. Google AI Studio goes beyond basic testing by enabling a deeper understanding of model behavior, allowing users to fine-tune and enhance AI performance. This comprehensive platform unlocks the full potential of AI, facilitating innovation and improving efficiency in various fields by lowering the barriers to AI development. By removing complexities, it helps users focus on building impactful solutions faster.
Learn more
Visual Studio Code Reviews
Visual Studio Code
(26 Ratings)
VSCode: A revolutionary approach to code editing. It's completely free, open-source, and compatible with all platforms. Experience more than just basic syntax highlighting and autocomplete; with IntelliSense, you gain intelligent suggestions that are based on the types of variables, definitions of functions, and imported modules. You can also debug your code directly within the editor, allowing you to launch or connect to your active applications while utilizing breakpoints, call stacks, and an interactive console for deeper insights. Collaborating with Git and other source control management (SCM) systems is simpler than ever; you can review differences, stage files, and commit changes right from within the editor itself. Easily push and pull changes from any hosted SCM service without hassle. Looking for additional capabilities? You can enhance your experience by installing extensions that introduce new languages, themes, debuggers, and connections to various services. These extensions operate in their own processes, ensuring they won't hinder your editor's performance. Discover the endless possibilities with extensions. Furthermore, with Microsoft Azure, you can efficiently deploy and host a variety of sites built with React, Angular, Vue, Node, Python, and more, while also being able to store and query both relational and document-based data, and scale effortlessly using serverless computing solutions. This powerful integration streamlines your development workflow and enhances productivity.
Learn more
JetBrains DataSpell Reviews
JetBrains DataSpell
Easily switch between command and editor modes using just one keystroke while navigating through cells with arrow keys. Take advantage of all standard Jupyter shortcuts for a smoother experience. Experience fully interactive outputs positioned directly beneath the cell for enhanced visibility. When working within code cells, benefit from intelligent code suggestions, real-time error detection, quick-fix options, streamlined navigation, and many additional features. You can operate with local Jupyter notebooks or effortlessly connect to remote Jupyter, JupyterHub, or JupyterLab servers directly within the IDE. Execute Python scripts or any expressions interactively in a Python Console, observing outputs and variable states as they happen. Split your Python scripts into code cells using the #%% separator, allowing you to execute them one at a time like in a Jupyter notebook. Additionally, explore DataFrames and visual representations in situ through interactive controls, all while enjoying support for a wide range of popular Python scientific libraries, including Plotly, Bokeh, Altair, ipywidgets, and many others, for a comprehensive data analysis experience. This integration allows for a more efficient workflow and enhances productivity while coding.
Learn more

Pricing

Free Trial:
Yes

Integrations

View Integrations

Reviews - 1 Verified Review

Total
ease
features
design
support
See More Reviews Write a Review

Company Details

Company:
Jupyter
Year Founded:
2014
Website:
jupyter.org

Media

JupyterLab Screenshot 1
JupyterLab Screenshot 1 JupyterLab Screenshot 2 JupyterLab Screenshot 3
Recommended Products
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free

Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

JupyterLab Features and Options

IDE Software

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

JupyterLab User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Principal Software Engineer
    Length of product use: Less than 6 months
    Used How Often?: Monthly
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    The next-gen version of Jupyter Notebook

    Edited: Aug 12 2022

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

    Positive: - 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

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

    Read More...
  • Previous
  • You're on page 1
  • Next