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What is JupyterLab?

Project Jupyter is focused on developing open-source tools, standards, and services that enhance interactive computing across a variety of programming languages. Central to this effort is JupyterLab, an innovative web-based interactive development environment tailored for Jupyter notebooks, programming, and data handling. JupyterLab provides exceptional flexibility, enabling users to tailor and arrange the interface according to different workflows in areas such as data science, scientific inquiry, and machine learning. Its design is both extensible and modular, allowing developers to build plugins that can add new functionalities while working harmoniously with existing features. The Jupyter Notebook is another key component, functioning as an open-source web application that allows users to create and disseminate documents containing live code, mathematical formulas, visualizations, and explanatory text. Jupyter finds widespread use in various applications, including data cleaning and transformation, numerical simulations, statistical analysis, data visualization, and machine learning, among others. Moreover, with support for over 40 programming languages—such as popular options like Python, R, Julia, and Scala—Jupyter remains an essential tool for researchers and developers, promoting collaborative and innovative solutions to complex computing problems. Additionally, its community-driven approach ensures that users continuously contribute to its evolution and improvement, further solidifying its role in advancing interactive computing.

What is Julia?

Since its creation, Julia has been designed with a focus on delivering high performance. Programs developed using Julia compile into highly efficient native code on various platforms thanks to the LLVM framework. At its core, Julia employs multiple dispatch, which greatly aids in representing a wide range of object-oriented and functional programming principles. The exploration of the Remarkable Effectiveness of Multiple Dispatch highlights its outstanding performance capabilities. Additionally, Julia supports dynamic typing, giving it characteristics akin to a scripting language, while also being well-suited for interactive programming sessions. Moreover, Julia offers features such as asynchronous I/O, metaprogramming, debugging tools, logging, profiling, and a package manager, enhancing its versatility. Developers can use Julia’s extensive ecosystem to build comprehensive applications and microservices. This open-source initiative benefits from the contributions of over 1,000 developers and is governed by the MIT License, showcasing its strong community involvement. The blend of high performance and adaptability in Julia positions it as a formidable asset for contemporary programming challenges. As the programming landscape continues to evolve, Julia remains a relevant and effective choice for developers looking to harness its capabilities.

Media

Media

Integrations Supported

Zed
CodeConvert
Coveralls
Dash
ERNIE X1.1
Falcon-40B
GPT-4o
GPT-4o mini
GPT-5.1-Codex-Max
Gemini 3 Deep Think
Gemini Flash
Gemini-Exp-1206
Kubernetes
Lapce
Llama 4 Behemoth
Mistral NeMo
OpenAI o1-pro
OpenAI o3
Polar Signals
Refraction

Integrations Supported

Zed
CodeConvert
Coveralls
Dash
ERNIE X1.1
Falcon-40B
GPT-4o
GPT-4o mini
GPT-5.1-Codex-Max
Gemini 3 Deep Think
Gemini Flash
Gemini-Exp-1206
Kubernetes
Lapce
Llama 4 Behemoth
Mistral NeMo
OpenAI o1-pro
OpenAI o3
Polar Signals
Refraction

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Jupyter

Date Founded

2014

Company Website

jupyter.org

Company Facts

Organization Name

Julia

Company Website

julialang.org

Categories and 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

Categories and Features

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