S-PLUS - 30 Metriken & AHP-Score
S-PLUS ist eine Multi-paradigm-Programmiersprache, die erstmals 1988 erschien und von Statistical Sciences entworfen wurde. Hauptanwendungen: Data Science, Scientific Computing, Statistics.
Einleitung
S-PLUS ist eine Multi-paradigm-Programmiersprache, die erstmals 1988 erschien und von Statistical Sciences entworfen wurde. Hauptanwendungen: Data Science, Scientific Computing, Statistics.
30 Metriken
| Metrik | Wert | Rang |
|---|---|---|
| GitHub Stars | 19127 | 167 |
| Stack Overflow Tags | 199711 | 188 |
| TIOBE Rank | 155 | |
| RedMonk Rank | 148 | |
| PYPL Rank | 152 | |
| Average Salary (USD) | 51730 | 198 |
| Job Postings | 12843 | 171 |
| Benchmarks Score | 0.18 | 194 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 3 | |
| Ecosystem Maturity | 3 | |
| Industry Adoption | 3 | |
| Type System Complexity | 2 | |
| Concurrency Support | 1 | |
| Performance - Execution Speed | 1 | |
| Performance - Memory Usage | 1 | |
| Performance - Startup Time | 1 | |
| Tooling Quality | 1 | |
| Package Manager Quality | 1 | |
| IDE Support | 1 | |
| Debugging Experience | 1 | |
| GitHub Stars Rank | 167 | |
| Stack Overflow Tags Rank | 188 | |
| Average Salary Rank | 198 | |
| Job Postings Rank | 171 | |
| Benchmarks Rank | 194 | |
| Learning Curve Score | 10 | |
| Community Size Score | 1 | |
| AHP Score | 2.84 | 194 |
Hello-World-Beispiel
print('Hello, World!')
Hauptanwendungsfälle
- Data Science
- Scientific Computing
- Statistics
- Visualization
Beliebte Frameworks
- Insightful
AHP-Score
S-PLUS AHP-Score: 2.84 (#194)