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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.
Pros of Jupyter
- In-line code execution using blocks18
- In-line graphing support10
- Can be themed7
- Multiple kernel support6
- Best web-browser IDE for Python3
- Export to python code3
- LaTex Support2
- HTML export capability1
- Multi-user with Kubernetes1
Pros of RStudio
- Visual editor for R Markdown documents2
- In-line code execution using blocks2
- Can be themed1
- In-line graphing support1
- Latex support1
- Sophitiscated statistical packages1
- Supports Rcpp, python and SQL1
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What is Jupyter?
What is RStudio?
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