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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.
Description
Positron is an advanced, freely available integrated development environment designed specifically for data science, accommodating both Python and R within a single cohesive workflow. This platform empowers data specialists to transition smoothly from data exploration to production by providing interactive consoles, notebook integration, variable and plot management, as well as real-time app previews alongside the coding process, all without the need for intricate setup. The IDE comes equipped with AI-driven features such as the Positron Assistant and Databot agent, which aid users in code writing, refinement, and exploratory data analysis to expedite the development process. Additional offerings include a dedicated Data Explorer for inspecting dataframes, a connections pane for database management, and comprehensive support for notebooks, scripts, and visual dashboards, allowing users to effortlessly switch between R and Python. Furthermore, with integrated version control, support for extensions, and robust connectivity to other tools in the Posit Software ecosystem, Positron enhances the overall data science experience. Ultimately, this environment aims to streamline workflows and boost productivity for data professionals in their projects.
API Access
Has API
API Access
Has API
Integrations
Python
R
AWS Marketplace
Arize Phoenix
Azure Marketplace
C++
Google Cloud Deep Learning VM Image
HTML
Intel Open Edge Platform
Java
Integrations
Python
R
AWS Marketplace
Arize Phoenix
Azure Marketplace
C++
Google Cloud Deep Learning VM Image
HTML
Intel Open Edge Platform
Java
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Jupyter
Founded
2014
Website
jupyter.org
Vendor Details
Company Name
Posit PBC
Founded
2009
Country
United States
Website
positron.posit.co
Product Features
Product Features
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
