SAS - 30 métriques et score AHP
Introduction
SAS est un langage de programmation Multi-paradigm apparu en 1976, conçu par SAS Institute. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.
30 métriques
| Métrique | Valeur | Rang |
|---|---|---|
| GitHub Stars | 30921 | 102 |
| Stack Overflow Tags | 410889 | 99 |
| TIOBE Rank | 118 | |
| RedMonk Rank | 129 | |
| PYPL Rank | 127 | |
| Average Salary (USD) | 75071 | 129 |
| Job Postings | 16812 | 132 |
| Benchmarks Score | 0.48 | 113 |
| Learning Curve | Easy | |
| Community Size | Medium | |
| Documentation Quality | 2 | |
| Ecosystem Maturity | 6 | |
| Industry Adoption | 3 | |
| Type System Complexity | 1 | |
| Concurrency Support | 7 | |
| Performance - Execution Speed | 6 | |
| Performance - Memory Usage | 7 | |
| Performance - Startup Time | 4 | |
| Tooling Quality | 2 | |
| Package Manager Quality | 6 | |
| IDE Support | 3 | |
| Debugging Experience | 3 | |
| GitHub Stars Rank | 102 | |
| Stack Overflow Tags Rank | 99 | |
| Average Salary Rank | 129 | |
| Job Postings Rank | 132 | |
| Benchmarks Rank | 113 | |
| Learning Curve Score | 9 | |
| Community Size Score | 5 | |
| AHP Score | 4.72 | 100 |
Exemple Hello World
data _null_; put 'Hello, World!'; run;
Cas d’usage principaux
- Data Science
- Scientific Computing
- Statistics
- Visualization
Frameworks populaires
- SAS/STAT
- SAS/ETS
Score AHP
SAS Score AHP: 4.72 (#100)