GNU Octave - 30 Metriken & AHP-Score
Einleitung
GNU Octave ist eine Multi-paradigm-Programmiersprache, die erstmals 1988 erschien und von John Eaton entworfen wurde. Hauptanwendungen: Data Science, Scientific Computing, Statistics.
30 Metriken
| Metrik | Wert | Rang |
|---|---|---|
| GitHub Stars | 26593 | 122 |
| Stack Overflow Tags | 356770 | 126 |
| TIOBE Rank | 116 | |
| RedMonk Rank | 127 | |
| PYPL Rank | 129 | |
| Average Salary (USD) | 74966 | 130 |
| Job Postings | 16659 | 134 |
| Benchmarks Score | 0.53 | 99 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 5 | |
| Ecosystem Maturity | 6 | |
| Industry Adoption | 3 | |
| Type System Complexity | 3 | |
| Concurrency Support | 5 | |
| Performance - Execution Speed | 3 | |
| Performance - Memory Usage | 3 | |
| Performance - Startup Time | 2 | |
| Tooling Quality | 5 | |
| Package Manager Quality | 6 | |
| IDE Support | 6 | |
| Debugging Experience | 6 | |
| GitHub Stars Rank | 122 | |
| Stack Overflow Tags Rank | 126 | |
| Average Salary Rank | 130 | |
| Job Postings Rank | 134 | |
| Benchmarks Rank | 99 | |
| Learning Curve Score | 8 | |
| Community Size Score | 3 | |
| AHP Score | 4.63 | 103 |
Hello-World-Beispiel
disp('Hello, World!')
Hauptanwendungsfälle
- Data Science
- Scientific Computing
- Statistics
- Visualization
Beliebte Frameworks
- Octave Forge
AHP-Score
GNU Octave AHP-Score: 4.63 (#103)