Rust vs R : comparaison de 30 métriques
Rust vs R
Rust
Rust est un langage de programmation Procedural, Object-Oriented, Generic apparu en 2010, conçu par Mozilla. 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 | Rust | R |
|---|---|---|
| GitHub Stars | 66161 | 58302 |
| Stack Overflow Tags | 892308 | 729989 |
| TIOBE Rank | 12 | 36 |
| RedMonk Rank | 20 | 20 |
| PYPL Rank | 9 | 24 |
| Average Salary (USD) | 132008 | 122736 |
| Job Postings | 40030 | 38329 |
| Benchmarks Score | 0.85 | 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 | 10 | 9 |
| Concurrency Support | 10 | 8 |
| Performance - Execution Speed | 8 | 8 |
| Performance - Memory Usage | 8 | 9 |
| Performance - Startup Time | 8 | 8 |
| Tooling Quality | 8 | 8 |
| Package Manager Quality | 9 | 9 |
| IDE Support | 7 | 8 |
| Debugging Experience | 8 | 9 |
| GitHub Stars Rank | 4 | 20 |
| Stack Overflow Tags Rank | 2 | 25 |
| Average Salary Rank | 8 | 23 |
| Job Postings Rank | 17 | 22 |
| Benchmarks Rank | 19 | 4 |
| Learning Curve Score | 2 | 2 |
| Community Size Score | 10 | 9 |
| AHP Score | 8.1 | 7.66 |
Score AHP
- Rust: 8.1 (#16)
- R: 7.66 (#23)
Rust | ######## 8.1
R | ######## 7.66
Quand choisir Rust
Systems Programming, Embedded, Performance-Critical Applications. Rust est un langage de programmation Procedural, Object-Oriented, Generic apparu en 2010, conçu par Mozilla. 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
Rust:
fn main(){ println!("Hello, World!"); }
R:
print('Hello, World!')