Jupyter vs RStudio: What are the differences?
Jupyter: Multi-language interactive computing environments. The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media; RStudio: Open source and enterprise-ready professional software for the R community. An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages..
Jupyter can be classified as a tool in the "Data Science Notebooks" category, while RStudio is grouped under "Integrated Development Environment".
Jupyter is an open source tool with 5.99K GitHub stars and 2.54K GitHub forks. Here's a link to Jupyter's open source repository on GitHub.
According to the StackShare community, Jupyter has a broader approval, being mentioned in 76 company stacks & 40 developers stacks; compared to RStudio, which is listed in 5 company stacks and 5 developer stacks.
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