S-PLUS - 30 métriques et score AHP
Introduction
S-PLUS est un langage de programmation Multi-paradigm apparu en 1988, conçu par Statistical Sciences. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.
30 métriques
| Métrique | Valeur | Rang |
|---|---|---|
| GitHub Stars | 13420 | 193 |
| Stack Overflow Tags | 255649 | 168 |
| TIOBE Rank | 150 | |
| RedMonk Rank | 145 | |
| PYPL Rank | 163 | |
| Average Salary (USD) | 64768 | 170 |
| Job Postings | 9701 | 186 |
| Benchmarks Score | 0.25 | 193 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 1 | |
| Ecosystem Maturity | 4 | |
| Industry Adoption | 1 | |
| Type System Complexity | 4 | |
| Concurrency Support | 1 | |
| Performance - Execution Speed | 3 | |
| Performance - Memory Usage | 2 | |
| Performance - Startup Time | 4 | |
| Tooling Quality | 1 | |
| Package Manager Quality | 2 | |
| IDE Support | 2 | |
| Debugging Experience | 1 | |
| GitHub Stars Rank | 193 | |
| Stack Overflow Tags Rank | 168 | |
| Average Salary Rank | 170 | |
| Job Postings Rank | 186 | |
| Benchmarks Rank | 193 | |
| Learning Curve Score | 8 | |
| Community Size Score | 2 | |
| AHP Score | 2.92 | 189 |
Exemple Hello World
print('Hello, World!')
Cas d’usage principaux
- Data Science
- Scientific Computing
- Statistics
- Visualization
Frameworks populaires
- Insightful
Score AHP
S-PLUS Score AHP: 2.92 (#189)