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What is Jupyter Notebook?

Jupyter Notebook is a versatile, web-based open-source application that allows individuals to generate and share documents that include live code, visualizations, mathematical equations, and textual descriptions. Its wide-ranging applications include data cleaning, statistical modeling, numerical simulations, data visualization, and machine learning, highlighting its adaptability across different domains. Furthermore, it acts as a superb medium for collaboration and the exchange of ideas among professionals within the data science community, fostering innovation and collective learning. This collaborative aspect enhances its value, making it an essential tool for both beginners and experts alike.

What is Hex?

Hex combines essential elements of notebooks, business intelligence, and documentation into a seamless and collaborative interface, positioning itself as a modern Data Workspace. It simplifies the integration with diverse data sources and facilitates collaborative analysis through SQL and Python notebooks, allowing users to present their insights as interactive applications and narratives. Upon entering Hex, users are directed to the Projects page, which serves as the primary hub for accessing personal and shared projects within the workspace. The outline feature delivers a concise summary of all cells present in a project's Logic View, with each cell clearly labeled with the variables it contains. Additionally, cells that generate visible outcomes—like chart cells, input parameters, and markdown cells—offer previews of their outputs. By selecting any cell from the outline, users can quickly jump to that precise point in the logic, significantly improving workflow efficiency. This capability not only streamlines collaboration but also enhances the overall experience of data exploration, making it accessible to users of varying expertise. Overall, Hex fosters an environment where teamwork and data-driven decision-making thrive.

Media

Media

Integrations Supported

GitHub
APERIO DataWise
Crowdin
Datameer
Deeplake
Evidation Health
Kedro
KitchenAI
ModelOp
Modern DataOS
NEO
PaizaCloud
Scispot
Stata
Tokern
Unfolded
VESSL AI

Integrations Supported

GitHub
LanceDB
PICO

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

$24 per user per month

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Project Jupyter

Date Founded

2014

Company Website

jupyter.org

Company Facts

Organization Name

Hex

Company Website

hex.tech/

Categories and Features

Data Science

Not specified

Categories and Features

Business Intelligence

Not specified

Dashboard

Not specified

Data Analysis

Not specified

Data Collaboration

Not specified

Data Science

Not specified

Data Visualization

Not specified

Embedded Analytics

Not specified

Machine Learning

Not specified

Popular Alternatives

Popular Alternatives

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