C vs R : comparaison de 30 métriques
C vs R
C
C est un langage de programmation Procedural, Object-Oriented, Generic apparu en 1972, conçu par Dennis Ritchie. Cas d’usage principaux : Systems Programming, Embedded, Performance-Critical Applications.
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.
30 métriques
| Métrique | C | R |
|---|---|---|
| GitHub Stars | 61804 | 58302 |
| Stack Overflow Tags | 860669 | 729989 |
| TIOBE Rank | 6 | 36 |
| RedMonk Rank | 11 | 20 |
| PYPL Rank | 8 | 24 |
| Average Salary (USD) | 132367 | 122736 |
| Job Postings | 41524 | 38329 |
| Benchmarks Score | 0.83 | 1.0 |
| Learning Curve | Hard | Hard |
| Community Size | Very Large | Very Large |
| Documentation Quality | 10 | 8 |
| Ecosystem Maturity | 10 | 10 |
| Industry Adoption | 10 | 8 |
| Type System Complexity | 8 | 9 |
| Concurrency Support | 9 | 8 |
| Performance - Execution Speed | 10 | 8 |
| Performance - Memory Usage | 9 | 9 |
| Performance - Startup Time | 10 | 8 |
| Tooling Quality | 8 | 8 |
| Package Manager Quality | 10 | 9 |
| IDE Support | 8 | 8 |
| Debugging Experience | 9 | 9 |
| GitHub Stars Rank | 13 | 20 |
| Stack Overflow Tags Rank | 6 | 25 |
| Average Salary Rank | 7 | 23 |
| Job Postings Rank | 11 | 22 |
| Benchmarks Rank | 24 | 4 |
| Learning Curve Score | 2 | 2 |
| Community Size Score | 9 | 9 |
| AHP Score | 8.28 | 7.66 |
Score AHP
- C: 8.28 (#9)
- R: 7.66 (#23)
C | ######## 8.28
R | ######## 7.66
Quand choisir C
Systems Programming, Embedded, Performance-Critical Applications. C est un langage de programmation Procedural, Object-Oriented, Generic apparu en 1972, conçu par Dennis Ritchie. Cas d’usage principaux : Systems Programming, Embedded, Performance-Critical Applications.
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.
Exemple Hello World
C:
#include <stdio.h>
int main(){ printf("Hello, World!\n"); return 0; }
R:
print('Hello, World!')