R vs Scala : comparaison de 30 métriques

R vs Scala

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.

Scala

Scala est un langage de programmation Object-Oriented, Functional apparu en 2004, conçu par Martin Odersky. Cas d’usage principaux : Backend Services, Enterprise Applications, Android.

30 métriques

MétriqueRScala
GitHub Stars5830255399
Stack Overflow Tags729989668243
TIOBE Rank3649
RedMonk Rank2051
PYPL Rank2456
Average Salary (USD)122736108106
Job Postings3832932694
Benchmarks Score1.00.77
Learning CurveHardHard
Community SizeVery LargeLarge
Documentation Quality89
Ecosystem Maturity109
Industry Adoption89
Type System Complexity97
Concurrency Support84
Performance - Execution Speed86
Performance - Memory Usage95
Performance - Startup Time86
Tooling Quality89
Package Manager Quality99
IDE Support89
Debugging Experience99
GitHub Stars Rank2025
Stack Overflow Tags Rank2532
Average Salary Rank2341
Job Postings Rank2235
Benchmarks Rank436
Learning Curve Score24
Community Size Score98
AHP Score7.667.17

Score AHP

  • R: 7.66 (#23)
  • Scala: 7.17 (#30)
R               | ######## 7.66
Scala           | ####### 7.17

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.

Quand choisir Scala

Backend Services, Enterprise Applications, Android. Scala est un langage de programmation Object-Oriented, Functional apparu en 2004, conçu par Martin Odersky. Cas d’usage principaux : Backend Services, Enterprise Applications, Android.

Exemple Hello World

R:

print('Hello, World!')

Scala:

object Main extends App { println("Hello, World!") }

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