R vs Scala: 30 Metrics Comparison

R vs Scala

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.

Scala

Scala is a Object-Oriented, Functional programming language first appeared in 2004, designed by Martin Odersky. Main use cases: Backend Services, Enterprise Applications, Android.

30 Metrics

MetricRScala
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

AHP Score

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

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.

When to choose Scala

Backend Services, Enterprise Applications, Android. Scala is a Object-Oriented, Functional programming language first appeared in 2004, designed by Martin Odersky. Main use cases: Backend Services, Enterprise Applications, Android.

Hello World Example

R:

print('Hello, World!')

Scala:

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

其他语言