YAML 与 R 对比:30项指标
YAML 对比 R
YAML
YAML 是一种Declarative, Markup编程语言,首次出现于 2001 年,由 Clark Evans 设计。主要应用场景:Data Serialization, Configuration, Interchange。
R
R 是一种Multi-paradigm编程语言,首次出现于 1993 年,由 Ross Ihaka, Robert Gentleman 设计。主要应用场景:Data Science, Scientific Computing, Statistics。
30项指标
| 指标 | 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综合评分
- YAML: 8.01 (#18)
- R: 7.66 (#23)
YAML | ######## 8.01
R | ######## 7.66
何时选择YAML
Data Serialization, Configuration, Interchange. YAML 是一种Declarative, Markup编程语言,首次出现于 2001 年,由 Clark Evans 设计。主要应用场景:Data Serialization, Configuration, Interchange。
何时选择R
Data Science, Scientific Computing, Statistics, Visualization. R 是一种Multi-paradigm编程语言,首次出现于 1993 年,由 Ross Ihaka, Robert Gentleman 设计。主要应用场景:Data Science, Scientific Computing, Statistics。
Hello World 示例
YAML:
msg: Hello, World!
R:
print('Hello, World!')