YAML vs R: 30개 지표 비교
YAML vs R
YAML
YAML은(는) 2001년에 처음 등장한 Declarative, Markup 프로그래밍 언어이며 Clark Evans가 설계했습니다. 주요 용도: Data Serialization, Configuration, Interchange.
R
R은(는) 1993년에 처음 등장한 Multi-paradigm 프로그래밍 언어이며 Ross Ihaka, Robert Gentleman가 설계했습니다. 주요 용도: Data Science, Scientific Computing, Statistics.
30개 지표
| 지표 | YAML | R |
|---|---|---|
| GitHub Stars | 61014 | 58302 |
| Stack Overflow Tags | 753537 | 729989 |
| TIOBE Rank | 22 | 36 |
| RedMonk Rank | 24 | 20 |
| PYPL Rank | 30 | 24 |
| Average Salary (USD) | 129620 | 122736 |
| Job Postings | 40815 | 38329 |
| Benchmarks Score | 0.75 | 1.0 |
| Learning Curve | Hard | Hard |
| Community Size | Very Large | Very Large |
| Documentation Quality | 8 | 8 |
| Ecosystem Maturity | 10 | 10 |
| Industry Adoption | 10 | 8 |
| Type System Complexity | 10 | 9 |
| Concurrency Support | 9 | 8 |
| Performance - Execution Speed | 10 | 8 |
| Performance - Memory Usage | 10 | 9 |
| Performance - Startup Time | 10 | 8 |
| Tooling Quality | 8 | 8 |
| Package Manager Quality | 8 | 9 |
| IDE Support | 7 | 8 |
| Debugging Experience | 7 | 9 |
| GitHub Stars Rank | 15 | 20 |
| Stack Overflow Tags Rank | 22 | 25 |
| Average Salary Rank | 11 | 23 |
| Job Postings Rank | 14 | 22 |
| Benchmarks Rank | 40 | 4 |
| Learning Curve Score | 1 | 2 |
| Community Size Score | 10 | 9 |
| AHP Score | 8.01 | 7.66 |
AHP 점수
- YAML: 8.01 (#18)
- R: 7.66 (#23)
YAML | ######## 8.01
R | ######## 7.66
YAML을(를) 선택해야 할 때
Data Serialization, Configuration, Interchange. YAML은(는) 2001년에 처음 등장한 Declarative, Markup 프로그래밍 언어이며 Clark Evans가 설계했습니다. 주요 용도: Data Serialization, Configuration, Interchange.
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.
Hello World 예제
YAML:
msg: Hello, World!
R:
print('Hello, World!')