Q# - 30 Metriken & AHP-Score
Einleitung
Q# ist eine Multi-paradigm-Programmiersprache, die erstmals 2017 erschien und von Microsoft entworfen wurde. Hauptanwendungen: Data Science, Scientific Computing, Statistics.
30 Metriken
| Metrik | Wert | Rang |
|---|---|---|
| GitHub Stars | 14196 | 194 |
| Stack Overflow Tags | 188566 | 193 |
| TIOBE Rank | 165 | |
| RedMonk Rank | 157 | |
| PYPL Rank | 151 | |
| Average Salary (USD) | 53702 | 194 |
| Job Postings | 12101 | 180 |
| Benchmarks Score | 0.17 | 198 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 3 | |
| Ecosystem Maturity | 1 | |
| Industry Adoption | 3 | |
| Type System Complexity | 1 | |
| Concurrency Support | 3 | |
| 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 | 194 | |
| Stack Overflow Tags Rank | 193 | |
| Average Salary Rank | 194 | |
| Job Postings Rank | 180 | |
| Benchmarks Rank | 198 | |
| Learning Curve Score | 10 | |
| Community Size Score | 3 | |
| AHP Score | 2.85 | 193 |
Hello-World-Beispiel
namespace Hello { @EntryPoint() operation HelloQ() : Unit { Message("Hello, World!") } }
Hauptanwendungsfälle
- Data Science
- Scientific Computing
- Statistics
- Visualization
Beliebte Frameworks
- Microsoft QDK
- Azure Quantum
AHP-Score
Q# AHP-Score: 2.85 (#193)