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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 Google Cloud Code?

Cloud Code is a suite of AI-powered plugins designed for popular IDEs, optimizing the creation, deployment, and integration of applications on Google Cloud. With real-time support from Duet AI, developers can receive assistance right within their coding environment. It is compatible with multiple IDEs, including VS Code, JetBrains IDEs, Cloud Workstations, and Cloud Shell Editor. By leveraging Duet AI, the platform speeds up development for GKE and Cloud Run through Skaffold integration, makes it easier to generate configuration files for diverse Google Cloud services, and streamlines the incorporation of Cloud APIs. Acting as a smart collaborator, Duet AI helps you work more effectively across Google Cloud and your chosen IDE. In addition, Cloud Code supports effortless testing and debugging of applications deployed on Google Cloud directly from within your IDE, catering to a variety of workloads such as Compute Engine, GKE, and Serverless functions. This smooth integration not only boosts productivity but also cultivates a more unified development experience, allowing developers to focus on innovation without getting bogged down by technical challenges. Ultimately, Cloud Code empowers developers to harness the full potential of Google Cloud effortlessly.

Media

Media

Integrations Supported

Kubernetes
AWS Marketplace
Apache Spark
Baidu AI Cloud Machine Learning (BML)
Docker
Domino Enterprise MLOps Platform
Fosfor Decision Cloud
Google Cloud Deploy
Google Cloud Platform
Google Cloud Run
Google Cloud Workstations
JSON
JetBrains DataSpell
OAuth
PyCharm
Python
Scheme
UbiOps
Visual Studio Code
Zed

Integrations Supported

Kubernetes
AWS Marketplace
Apache Spark
Baidu AI Cloud Machine Learning (BML)
Docker
Domino Enterprise MLOps Platform
Fosfor Decision Cloud
Google Cloud Deploy
Google Cloud Platform
Google Cloud Run
Google Cloud Workstations
JSON
JetBrains DataSpell
OAuth
PyCharm
Python
Scheme
UbiOps
Visual Studio Code
Zed

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

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/code/

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

IDE

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

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