SAS - 30 metriek en AHP-score
Inleiding
SAS is een Multi-paradigm-programmeertaal die voor het eerst verscheen in 1976, ontworpen door SAS Institute. Belangrijkste toepassingen: Data Science, Scientific Computing, Statistics.
30 metriek
| Metriek | Waarde | 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 |
Hello World voorbeeld
data _null_; put 'Hello, World!'; run;
Belangrijkste toepassingen
- Data Science
- Scientific Computing
- Statistics
- Visualization
Populaire frameworks
- SAS/STAT
- SAS/ETS
AHP-score
SAS AHP-score: 4.72 (#100)