Markdown vs R : comparaison de 30 métriques

Markdown vs R

Markdown

Markdown est un langage de programmation Markup apparu en 2004, conçu par John Gruber. Cas d’usage principaux : Documentation, Technical Writing, Publishing.

R

R est un langage de programmation Multi-paradigm apparu en 1993, conçu par Ross Ihaka, Robert Gentleman. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.

30 métriques

MétriqueMarkdownR
GitHub Stars6108758302
Stack Overflow Tags831978729989
TIOBE Rank236
RedMonk Rank2120
PYPL Rank324
Average Salary (USD)133823122736
Job Postings4044038329
Benchmarks Score0.921.0
Learning CurveHardHard
Community SizeVery LargeVery Large
Documentation Quality88
Ecosystem Maturity1010
Industry Adoption98
Type System Complexity89
Concurrency Support108
Performance - Execution Speed98
Performance - Memory Usage109
Performance - Startup Time88
Tooling Quality98
Package Manager Quality109
IDE Support108
Debugging Experience99
GitHub Stars Rank1420
Stack Overflow Tags Rank1225
Average Salary Rank423
Job Postings Rank1522
Benchmarks Rank134
Learning Curve Score22
Community Size Score109
AHP Score8.277.66

Score AHP

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

Quand choisir Markdown

Documentation, Technical Writing, Publishing. Markdown est un langage de programmation Markup apparu en 2004, conçu par John Gruber. Cas d’usage principaux : Documentation, Technical Writing, Publishing.

Quand choisir R

Data Science, Scientific Computing, Statistics, Visualization. R est un langage de programmation Multi-paradigm apparu en 1993, conçu par Ross Ihaka, Robert Gentleman. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.

Exemple Hello World

Markdown:

# Hello, World!

R:

print('Hello, World!')

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