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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 JetBrains Datalore?

Datalore serves as a collaborative data science and analytics platform designed to enhance the analytics workflow, making data interaction more enjoyable for both data scientists and business teams with analytical skills. This platform prioritizes the efficiency of data teams, enabling technically skilled business users to engage with data teams through no-code and low-code solutions alongside the robust capabilities of Jupyter Notebooks. With Datalore, business users can enjoy analytic self-service by utilizing SQL or no-code cells, generating reports, and exploring data in depth. This functionality also allows core data teams to concentrate on more complex tasks, thus streamlining their workflow. Moreover, Datalore facilitates seamless collaboration between data scientists and analysts, enabling them to share their findings with ML Engineers. Users can effortlessly share their code with ML Engineers who have access to powerful CPUs and GPUs, all while collaborating in real time with colleagues for improved productivity and creativity. Ultimately, Datalore seeks to bridge the gap between technical and non-technical users, fostering a truly collaborative environment in the data science field.

Media

Media

Integrations Supported

Python
R
Scala
Amazon S3
Arize Phoenix
Azure Marketplace
CSS
CodeSquire
Docker
Fosfor Decision Cloud
Goose
HTML
Illumina Connected Analytics
JetBrains DataSpell
Jupyter Notebook
Kubernetes
PostgreSQL
PyCharm
esDynamic
neptune.ai

Integrations Supported

Python
R
Scala
Amazon S3
Arize Phoenix
Azure Marketplace
CSS
CodeSquire
Docker
Fosfor Decision Cloud
Goose
HTML
Illumina Connected Analytics
JetBrains DataSpell
Jupyter Notebook
Kubernetes
PostgreSQL
PyCharm
esDynamic
neptune.ai

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$19.90 per month
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

JetBrains

Date Founded

2000

Company Location

Czech Republic

Company Website

www.jetbrains.com/datalore/

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

Code Collaboration

Audio Conferencing
Chat / Messaging
Code Review
Discussion Threads
IDE Integration
Remote Control
Remote Pair Programming
Screen Sharing
Video Conferencing

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

IDE

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

Popular Alternatives

Popular Alternatives

Jupyter Notebook Reviews & Ratings

Jupyter Notebook

Project Jupyter