YAML vs R : comparaison de 30 métriques

YAML vs R

YAML

YAML est un langage de programmation Declarative, Markup apparu en 2001, conçu par Clark Evans. Cas d’usage principaux : Data Serialization, Configuration, Interchange.

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

MétriqueYAMLR
GitHub Stars6101458302
Stack Overflow Tags753537729989
TIOBE Rank2236
RedMonk Rank2420
PYPL Rank3024
Average Salary (USD)129620122736
Job Postings4081538329
Benchmarks Score0.751.0
Learning CurveHardHard
Community SizeVery LargeVery Large
Documentation Quality88
Ecosystem Maturity1010
Industry Adoption108
Type System Complexity109
Concurrency Support98
Performance - Execution Speed108
Performance - Memory Usage109
Performance - Startup Time108
Tooling Quality88
Package Manager Quality89
IDE Support78
Debugging Experience79
GitHub Stars Rank1520
Stack Overflow Tags Rank2225
Average Salary Rank1123
Job Postings Rank1422
Benchmarks Rank404
Learning Curve Score12
Community Size Score109
AHP Score8.017.66

Score AHP

  • YAML: 8.01 (#18)
  • R: 7.66 (#23)
YAML            | ######## 8.01
R               | ######## 7.66

Quand choisir YAML

Data Serialization, Configuration, Interchange. YAML est un langage de programmation Declarative, Markup apparu en 2001, conçu par Clark Evans. Cas d’usage principaux : Data Serialization, Configuration, Interchange.

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

YAML:

msg: Hello, World!

R:

print('Hello, World!')

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