R 与 pip 对比:30项指标
R 对比 pip
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。
pip
pip 是一种Declarative, Imperative编程语言,首次出现于 2008 年,由 Ian Bicking 设计。主要应用场景:Package Management, Dependency Resolution。
30项指标
| 指标 | R | pip |
|---|---|---|
| GitHub Stars | 58302 | 60452 |
| Stack Overflow Tags | 729989 | 737265 |
| TIOBE Rank | 36 | 21 |
| RedMonk Rank | 20 | 28 |
| PYPL Rank | 24 | 23 |
| Average Salary (USD) | 122736 | 125630 |
| Job Postings | 38329 | 36286 |
| Benchmarks Score | 1.0 | 0.79 |
| Learning Curve | Hard | Hard |
| Community Size | Very Large | Very Large |
| Documentation Quality | 8 | 8 |
| Ecosystem Maturity | 10 | 8 |
| Industry Adoption | 8 | 8 |
| Type System Complexity | 9 | 10 |
| Concurrency Support | 8 | 6 |
| Performance - Execution Speed | 8 | 7 |
| Performance - Memory Usage | 9 | 8 |
| Performance - Startup Time | 8 | 8 |
| Tooling Quality | 8 | 9 |
| Package Manager Quality | 9 | 8 |
| IDE Support | 8 | 8 |
| Debugging Experience | 9 | 10 |
| GitHub Stars Rank | 20 | 17 |
| Stack Overflow Tags Rank | 25 | 23 |
| Average Salary Rank | 23 | 19 |
| Job Postings Rank | 22 | 25 |
| Benchmarks Rank | 4 | 34 |
| Learning Curve Score | 2 | 1 |
| Community Size Score | 9 | 10 |
| AHP Score | 7.66 | 7.44 |
AHP综合评分
- R: 7.66 (#23)
- pip: 7.44 (#27)
R | ######## 7.66
pip | ####### 7.44
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。
何时选择pip
Package Management, Dependency Resolution. pip 是一种Declarative, Imperative编程语言,首次出现于 2008 年,由 Ian Bicking 设计。主要应用场景:Package Management, Dependency Resolution。
Hello World 示例
R:
print('Hello, World!')
pip:
pip install requests