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 | 12371 | 197 |
| Stack Overflow Tags | 160172 | 198 |
| TIOBE Rank | 161 | |
| RedMonk Rank | 163 | |
| PYPL Rank | 148 | |
| Average Salary (USD) | 56939 | 190 |
| Job Postings | 10498 | 184 |
| Benchmarks Score | 0.24 | 194 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 1 | |
| Ecosystem Maturity | 4 | |
| Industry Adoption | 1 | |
| Type System Complexity | 1 | |
| Concurrency Support | 4 | |
| Performance - Execution Speed | 3 | |
| Performance - Memory Usage | 4 | |
| Performance - Startup Time | 3 | |
| Tooling Quality | 1 | |
| Package Manager Quality | 2 | |
| IDE Support | 2 | |
| Debugging Experience | 1 | |
| GitHub Stars Rank | 197 | |
| Stack Overflow Tags Rank | 198 | |
| Average Salary Rank | 190 | |
| Job Postings Rank | 184 | |
| Benchmarks Rank | 194 | |
| Learning Curve Score | 10 | |
| Community Size Score | 1 | |
| AHP Score | 3.05 | 186 |
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: 3.05 (#186)