SAS - 30 Metriken & AHP-Score
Einleitung
SAS ist eine Multi-paradigm-Programmiersprache, die erstmals 1976 erschien und von SAS Institute entworfen wurde. Hauptanwendungen: Data Science, Scientific Computing, Statistics.
30 Metriken
| Metrik | Wert | Rang |
|---|---|---|
| GitHub Stars | 28453 | 112 |
| Stack Overflow Tags | 401567 | 105 |
| TIOBE Rank | 122 | |
| RedMonk Rank | 110 | |
| PYPL Rank | 111 | |
| Average Salary (USD) | 81138 | 105 |
| Job Postings | 18214 | 122 |
| Benchmarks Score | 0.56 | 87 |
| Learning Curve | Medium | |
| Community Size | Medium | |
| Documentation Quality | 2 | |
| Ecosystem Maturity | 3 | |
| Industry Adoption | 5 | |
| Type System Complexity | 4 | |
| Concurrency Support | 4 | |
| Performance - Execution Speed | 6 | |
| Performance - Memory Usage | 6 | |
| Performance - Startup Time | 6 | |
| Tooling Quality | 4 | |
| Package Manager Quality | 5 | |
| IDE Support | 5 | |
| Debugging Experience | 3 | |
| GitHub Stars Rank | 112 | |
| Stack Overflow Tags Rank | 105 | |
| Average Salary Rank | 105 | |
| Job Postings Rank | 122 | |
| Benchmarks Rank | 87 | |
| Learning Curve Score | 6 | |
| Community Size Score | 5 | |
| AHP Score | 4.57 | 104 |
Hello-World-Beispiel
data _null_; put 'Hello, World!'; run;
Hauptanwendungsfälle
- Data Science
- Scientific Computing
- Statistics
- Visualization
Beliebte Frameworks
- SAS/STAT
- SAS/ETS
AHP-Score
SAS AHP-Score: 4.57 (#104)