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MJML vs R: What are the differences?
MJML: The framework that makes responsive email easy. It is a markup language designed to reduce the pain of coding a responsive email. Its semantic syntax makes it easy and straightforward while its rich standard components library fastens your development time and lightens your email codebase. Its open-source engine takes care of translating it into responsive HTML; R: A language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
MJML and R belong to "Languages" category of the tech stack.
MJML is an open source tool with 9.17K GitHub stars and 618 GitHub forks. Here's a link to MJML's open source repository on GitHub.
According to the StackShare community, R has a broader approval, being mentioned in 188 company stacks & 630 developers stacks; compared to MJML, which is listed in 9 company stacks and 3 developer stacks.
Pros of MJML
Pros of R Language
- Data analysis86
- Graphics and data visualization64
- Free55
- Great community45
- Flexible statistical analysis toolkit38
- Access to powerful, cutting-edge analytics27
- Easy packages setup27
- Interactive18
- R Studio IDE13
- Hacky9
- Shiny apps7
- Shiny interactive plots6
- Preferred Medium6
- Automated data reports5
- Cutting-edge machine learning straight from researchers4
- Machine Learning3
- Graphical visualization2
- Flexible Syntax1
- Specially made for statistics1
- Domain knowledge out of the box1
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Cons of MJML
Cons of R Language
- Very messy syntax6
- Tables must fit in RAM4
- Arrays indices start with 13
- Messy syntax for string concatenation2
- No push command for vectors/lists2
- Messy character encoding1
- Poor syntax for classes0
- Messy syntax for array/vector combination0