R vs Scala: 30개 지표 비교
R vs Scala
R
R은(는) 1993년에 처음 등장한 Multi-paradigm 프로그래밍 언어이며 Ross Ihaka, Robert Gentleman가 설계했습니다. 주요 용도: Data Science, Scientific Computing, Statistics.
Scala
Scala은(는) 2004년에 처음 등장한 Object-Oriented, Functional 프로그래밍 언어이며 Martin Odersky가 설계했습니다. 주요 용도: Backend Services, Enterprise Applications, Android.
30개 지표
| 지표 | R | Scala |
|---|---|---|
| GitHub Stars | 58302 | 55399 |
| Stack Overflow Tags | 729989 | 668243 |
| TIOBE Rank | 36 | 49 |
| RedMonk Rank | 20 | 51 |
| PYPL Rank | 24 | 56 |
| Average Salary (USD) | 122736 | 108106 |
| Job Postings | 38329 | 32694 |
| Benchmarks Score | 1.0 | 0.77 |
| Learning Curve | Hard | Hard |
| Community Size | Very Large | Large |
| Documentation Quality | 8 | 9 |
| Ecosystem Maturity | 10 | 9 |
| Industry Adoption | 8 | 9 |
| Type System Complexity | 9 | 7 |
| Concurrency Support | 8 | 4 |
| Performance - Execution Speed | 8 | 6 |
| Performance - Memory Usage | 9 | 5 |
| Performance - Startup Time | 8 | 6 |
| Tooling Quality | 8 | 9 |
| Package Manager Quality | 9 | 9 |
| IDE Support | 8 | 9 |
| Debugging Experience | 9 | 9 |
| GitHub Stars Rank | 20 | 25 |
| Stack Overflow Tags Rank | 25 | 32 |
| Average Salary Rank | 23 | 41 |
| Job Postings Rank | 22 | 35 |
| Benchmarks Rank | 4 | 36 |
| Learning Curve Score | 2 | 4 |
| Community Size Score | 9 | 8 |
| AHP Score | 7.66 | 7.17 |
AHP 점수
- R: 7.66 (#23)
- Scala: 7.17 (#30)
R | ######## 7.66
Scala | ####### 7.17
R을(를) 선택해야 할 때
Data Science, Scientific Computing, Statistics, Visualization. R은(는) 1993년에 처음 등장한 Multi-paradigm 프로그래밍 언어이며 Ross Ihaka, Robert Gentleman가 설계했습니다. 주요 용도: Data Science, Scientific Computing, Statistics.
Scala을(를) 선택해야 할 때
Backend Services, Enterprise Applications, Android. Scala은(는) 2004년에 처음 등장한 Object-Oriented, Functional 프로그래밍 언어이며 Martin Odersky가 설계했습니다. 주요 용도: Backend Services, Enterprise Applications, Android.
Hello World 예제
R:
print('Hello, World!')
Scala:
object Main extends App { println("Hello, World!") }