Markdown vs R: 30 Metrics Comparison

Markdown vs R

Markdown

Markdown is a Markup programming language first appeared in 2004, designed by John Gruber. Main use cases: Documentation, Technical Writing, Publishing.

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 Markdown R
GitHub Stars 61087 58302
Stack Overflow Tags 831978 729989
TIOBE Rank 2 36
RedMonk Rank 21 20
PYPL Rank 3 24
Average Salary (USD) 133823 122736
Job Postings 40440 38329
Benchmarks Score 0.92 1.0
Learning Curve Hard Hard
Community Size Very Large Very Large
Documentation Quality 8 8
Ecosystem Maturity 10 10
Industry Adoption 9 8
Type System Complexity 8 9
Concurrency Support 10 8
Performance - Execution Speed 9 8
Performance - Memory Usage 10 9
Performance - Startup Time 8 8
Tooling Quality 9 8
Package Manager Quality 10 9
IDE Support 10 8
Debugging Experience 9 9
GitHub Stars Rank 14 20
Stack Overflow Tags Rank 12 25
Average Salary Rank 4 23
Job Postings Rank 15 22
Benchmarks Rank 13 4
Learning Curve Score 2 2
Community Size Score 10 9
AHP Score 8.27 7.66

AHP Score

  • Markdown: 8.27 (#11)
  • R: 7.66 (#23)
Markdown        | ######## 8.27
R               | ######## 7.66

When to choose Markdown

Documentation, Technical Writing, Publishing. Markdown is a Markup programming language first appeared in 2004, designed by John Gruber. Main use cases: Documentation, Technical Writing, Publishing.

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

Markdown:

# Hello, World!

R:

print('Hello, World!')

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