S - 30 métriques et score AHP
Introduction
S est un langage de programmation Multi-paradigm apparu en 1976, conçu par Bell Labs. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.
30 métriques
| Métrique | Valeur | Rang |
|---|---|---|
| GitHub Stars | 17254 | 181 |
| Stack Overflow Tags | 224366 | 179 |
| TIOBE Rank | 154 | |
| RedMonk Rank | 157 | |
| PYPL Rank | 156 | |
| Average Salary (USD) | 55524 | 193 |
| Job Postings | 8319 | 198 |
| Benchmarks Score | 0.33 | 171 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 1 | |
| Ecosystem Maturity | 2 | |
| Industry Adoption | 2 | |
| Type System Complexity | 1 | |
| Concurrency Support | 3 | |
| Performance - Execution Speed | 4 | |
| Performance - Memory Usage | 3 | |
| Performance - Startup Time | 2 | |
| Tooling Quality | 2 | |
| Package Manager Quality | 2 | |
| IDE Support | 2 | |
| Debugging Experience | 3 | |
| GitHub Stars Rank | 181 | |
| Stack Overflow Tags Rank | 179 | |
| Average Salary Rank | 193 | |
| Job Postings Rank | 198 | |
| Benchmarks Rank | 171 | |
| Learning Curve Score | 10 | |
| Community Size Score | 1 | |
| AHP Score | 3.1 | 184 |
Exemple Hello World
print('Hello, World!')
Cas d’usage principaux
- Data Science
- Scientific Computing
- Statistics
- Visualization
Frameworks populaires
- S-PLUS
Score AHP
S Score AHP: 3.1 (#184)