Need advice about which tool to choose?Ask the StackShare community!
Pandas vs R: What are the differences?
Developers describe Pandas as "High-performance, easy-to-use data structures and data analysis tools for the Python programming language". Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. On the other hand, R is detailed as "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.
Pandas can be classified as a tool in the "Data Science Tools" category, while R is grouped under "Languages".
"Easy data frame management" is the top reason why over 16 developers like Pandas, while over 58 developers mention "Data analysis " as the leading cause for choosing R.
Pandas is an open source tool with 20.2K GitHub stars and 8K GitHub forks. Here's a link to Pandas's open source repository on GitHub.
According to the StackShare community, R has a broader approval, being mentioned in 128 company stacks & 97 developers stacks; compared to Pandas, which is listed in 73 company stacks and 49 developer stacks.
Pros of Pandas
- Easy data frame management21
- Extensive file format compatibility1
Pros of R Language
- Data analysis83
- Graphics and data visualization62
- Free53
- Great community45
- Flexible statistical analysis toolkit38
- Easy packages setup27
- Access to powerful, cutting-edge analytics27
- Interactive18
- R Studio IDE13
- Hacky9
- Shiny apps7
- Preferred Medium6
- Shiny interactive plots6
- Automated data reports5
- Cutting-edge machine learning straight from researchers4
- Machine Learning3
- Graphical visualization2
- Flexible Syntax1
Sign up to add or upvote prosMake informed product decisions
Cons of Pandas
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
Sign up to add or upvote consMake informed product decisions
What is Pandas?
What is R Language?
Need advice about which tool to choose?Ask the StackShare community!
What companies use Pandas?
What companies use R Language?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with R Language?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+17
+16
+42
+34+39