R vs pip : comparaison de 30 métriques
R vs pip
R
R est un langage de programmation Multi-paradigm apparu en 1993, conçu par Ross Ihaka, Robert Gentleman. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.
pip
pip est un langage de programmation Declarative, Imperative apparu en 2008, conçu par Ian Bicking. Cas d’usage principaux : Package Management, Dependency Resolution.
30 métriques
| Métrique | 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 |
Score AHP
- R: 7.66 (#23)
- pip: 7.44 (#27)
R | ######## 7.66
pip | ####### 7.44
Quand choisir R
Data Science, Scientific Computing, Statistics, Visualization. R est un langage de programmation Multi-paradigm apparu en 1993, conçu par Ross Ihaka, Robert Gentleman. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.
Quand choisir pip
Package Management, Dependency Resolution. pip est un langage de programmation Declarative, Imperative apparu en 2008, conçu par Ian Bicking. Cas d’usage principaux : Package Management, Dependency Resolution.
Exemple Hello World
R:
print('Hello, World!')
pip:
pip install requests