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features
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support

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Description

Edison Analysis serves as an advanced scientific data-analysis tool developed by Edison Scientific, functioning as the core analytical engine for their AI Scientist platform known as Kosmos. It is accessible through both Edison’s platform and an API, facilitating intricate scientific data analysis. By iteratively constructing and refining Jupyter notebooks within a specialized environment, this agent takes a dataset alongside a prompt to thoroughly explore, analyze, and interpret the information, ultimately delivering detailed insights, comprehensive reports, and visualizations akin to the work of a human scientist. It is capable of executing code in Python, R, and Bash, and incorporates a wide array of common scientific-analysis libraries within a Docker framework. As all operations occur within a notebook, the logic behind the analysis remains completely transparent and accountable; users have the ability to examine how data was processed, the parameters selected, and the reasoning that led to conclusions, while also being able to download the notebook and related assets whenever they wish. This innovative approach not only enhances the understanding of scientific data but also fosters greater collaboration among researchers by providing a clear record of the entire analytical process.

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.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Docker Yes 
Jupyter Notebook Yes 
Python Yes 
R Yes 
AWS Marketplace No 
Azure Marketplace No 
Baidu AI Cloud Machine Learning (BML) No 
Bash Yes 
CSS No 
Domino Enterprise AI Platform No 
Google Cloud Deep Learning VM Image No 
HTML No 
Intel Tiber AI Cloud No 
JSON No 
Java No 
JetBrains DataSpell No 
Julia No 
Kubernetes No 
OAuth No 
Scala No 

Integrations

Docker Yes 
Jupyter Notebook Yes 
Python Yes 
R Yes 
AWS Marketplace Yes 
Azure Marketplace Yes 
Baidu AI Cloud Machine Learning (BML) Yes 
Bash No 
CSS Yes 
Domino Enterprise AI Platform Yes 
Google Cloud Deep Learning VM Image Yes 
HTML Yes 
Intel Tiber AI Cloud Yes 
JSON Yes 
Java Yes 
JetBrains DataSpell Yes 
Julia Yes 
Kubernetes Yes 
OAuth Yes 
Scala Yes 

Pricing Details

$50 per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Edison Scientific

Country

United States

Website

edisonscientific.com/articles/introducing-edison-analysis

Vendor Details

Company Name

Jupyter

Founded

2014

Website

jupyter.org

Product Features

IDE

Code Completion No 
Compiler No 
Cross Platform Support No 
Debugger No 
Drag and Drop UI No 
Integrations and Plugins No 
Multi Language Support No 
Project Management No 
Text Editor / Code Editor No 

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