Python vs R: 30 Metrics Comparison

Python vs R

Python

Python is a Object-Oriented, Functional, Procedural programming language first appeared in 1991, designed by Guido van Rossum. Main use cases: Web Development, Automation, Scripting.

R

R is a Multi-paradigm programming language first appeared in 1993, designed by Ross Ihaka, Robert Gentleman. Main use cases: Data Science, Scientific Computing, Statistics.

30 Metrics

Metric Python R
GitHub Stars 63766 58302
Stack Overflow Tags 877002 729989
TIOBE Rank 9 36
RedMonk Rank 13 20
PYPL Rank 3 24
Average Salary (USD) 129023 122736
Job Postings 41729 38329
Benchmarks Score 0.97 1.0
Learning Curve Hard Hard
Community Size Very Large Very Large
Documentation Quality 9 8
Ecosystem Maturity 10 10
Industry Adoption 10 8
Type System Complexity 9 9
Concurrency Support 10 8
Performance - Execution Speed 10 8
Performance - Memory Usage 9 9
Performance - Startup Time 9 8
Tooling Quality 9 8
Package Manager Quality 9 9
IDE Support 9 8
Debugging Experience 9 9
GitHub Stars Rank 7 20
Stack Overflow Tags Rank 4 25
Average Salary Rank 12 23
Job Postings Rank 9 22
Benchmarks Rank 9 4
Learning Curve Score 1 2
Community Size Score 10 9
AHP Score 8.31 7.66

AHP Score

  • Python: 8.31 (#7)
  • R: 7.66 (#23)
Python          | ######## 8.31
R               | ######## 7.66

When to choose Python

Web Development, Automation, Scripting, General Programming. Python is a Object-Oriented, Functional, Procedural programming language first appeared in 1991, designed by Guido van Rossum. Main use cases: Web Development, Automation, Scripting.

When to choose R

Data Science, Scientific Computing, Statistics, Visualization. R is a Multi-paradigm programming language first appeared in 1993, designed by Ross Ihaka, Robert Gentleman. Main use cases: Data Science, Scientific Computing, Statistics.

Hello World Example

Python:

print('Hello, World!')

R:

print('Hello, World!')

Other languages