C# vs R: 30 Metrics Comparison

C# vs R

C#

C# is a Object-Oriented, Functional programming language first appeared in 2000, designed by Microsoft. Main use cases: Enterprise Applications, Backend Services, Desktop Applications.

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 C# R
GitHub Stars 67677 58302
Stack Overflow Tags 848163 729989
TIOBE Rank 14 36
RedMonk Rank 9 20
PYPL Rank 10 24
Average Salary (USD) 126527 122736
Job Postings 43634 38329
Benchmarks Score 1.04 1.0
Learning Curve Hard Hard
Community Size Very Large Very Large
Documentation Quality 10 8
Ecosystem Maturity 10 10
Industry Adoption 9 8
Type System Complexity 8 9
Concurrency Support 10 8
Performance - Execution Speed 10 8
Performance - Memory Usage 10 9
Performance - Startup Time 10 8
Tooling Quality 9 8
Package Manager Quality 8 9
IDE Support 8 8
Debugging Experience 8 9
GitHub Stars Rank 1 20
Stack Overflow Tags Rank 8 25
Average Salary Rank 16 23
Job Postings Rank 4 22
Benchmarks Rank 3 4
Learning Curve Score 2 2
Community Size Score 10 9
AHP Score 8.29 7.66

AHP Score

  • C#: 8.29 (#8)
  • R: 7.66 (#23)
C#              | ######## 8.29
R               | ######## 7.66

When to choose C#

Enterprise Applications, Backend Services, Desktop Applications. C# is a Object-Oriented, Functional programming language first appeared in 2000, designed by Microsoft. Main use cases: Enterprise Applications, Backend Services, Desktop Applications.

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

C#:

Console.WriteLine("Hello, World!");

R:

print('Hello, World!')

Other languages