Jupyter Notebook vs. Microsoft R Open Comparison


Jupyter Notebook Project Jupyter	Microsoft R Open Microsoft	+	+
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About The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.	About Microsoft continues its commitment and development in R, not only in the latest Machine Learning Server release, but also in the newest Microsoft R Client and Microsoft R Open releases. You can also find R and Python support in SQL Server Machine Learning Services on Windows and Linux, and R support in Azure SQL Database. R components are backwards compatible. You should be able to run existing R script on newer versions, with the exception of dependencies on packages or platforms that are no longer supported, or known issues that require a workaround or code change. Microsoft R Open is the enhanced distribution of R from Microsoft Corporation. The current release, Microsoft R Open 4.0.2, is based the statistical language R-4.0.2 and includes additional capabilities for improved performance, reproducibility and platform support. Compatibility with all packages, scripts and applications that work with R-4.0.2.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Anyone who wants to create and share documents that contain live code, equations, visualizations and narrative text	Audience Data science teams looking for a solution to simplify their matrix multiply/inverse, matrix decomposition, and higher-level matrix operations
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 4.0 / 5 support 4.5 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Pros & Cons from Real Users Pros Step-by-step casual coders like me dream of such a simple software. I use the tool to execute simple Python scripts and Jupyter is far easier to code on that Visual Studio or even the Python shell itself. Keyboard shortcuts make it even easier to use. • It is web-based, so saves you a lot of space. • Allows you to import your own code in many formats. • You can also work with visuals and charts. • I like that you can code line-by-line or all at once with ctrl + Enter shortcut, which is very useful for debugging. • Mostly, I like that it is also a great tool for teaching and practicing machine learning. Cons Would be better if installation is easier. I had to watch a few YouTube videos to understand how to start installation. • It gets buggy at times, and takes some time to load initially. • Can be slow even on high speed networks. • The interface is pretty old fashioned.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Project Jupyter Founded: 2014 jupyter.org	Company Information Microsoft Founded: 1975 United States mran.microsoft.com/rro
Alternatives Amazon SageMaker Amazon	Alternatives MATLAB The MathWorks
Posit	SAS Enterprise Miner SAS Institute
Databricks	Wolfram Mathematica Wolfram
JupyterLab Jupyter	Azure Data Science Virtual Machines Microsoft
JetBrains DataSpell JetBrains View All	RStudio Posit View All
Categories Application Development Supported Data Science Supported	Categories Data Science Supported

Integrations AutoKeras Supported DataClarity Unlimited Analytics Not Supported Deeplake Supported Delinea Cloud Access Controller Not Supported EOfactory Supported Fuzzball Supported Giskard Supported Google Colab Supported IBM Watson Studio Supported JupyterHub Supported Kedro Supported Kubernetes Supported Moonglow Supported ODK Not Supported Posit Supported RunCode Supported Vectice Supported goormIDE Supported Show More Integrations View All 140 Integrations	Integrations AutoKeras Not Supported DataClarity Unlimited Analytics Supported Deeplake Not Supported Delinea Cloud Access Controller Supported EOfactory Not Supported Fuzzball Not Supported Giskard Not Supported Google Colab Not Supported IBM Watson Studio Not Supported JupyterHub Not Supported Kedro Not Supported Kubernetes Not Supported Moonglow Not Supported ODK Supported Posit Not Supported RunCode Not Supported Vectice Not Supported goormIDE Not Supported Show More Integrations View All 8 Integrations
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