Q# - 30 métricas y puntuación AHP
Introducción
Q# es un lenguaje de programación Multi-paradigm que apareció por primera vez en 2017, diseñado por Microsoft. Casos de uso principales: Data Science, Scientific Computing, Statistics.
30 métricas
| Métrica | Valor | Rango |
|---|---|---|
| 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 |
Ejemplo Hola Mundo
namespace Hello { @EntryPoint() operation HelloQ() : Unit { Message("Hello, World!") } }
Casos de uso principales
- Data Science
- Scientific Computing
- Statistics
- Visualization
Frameworks populares
- Microsoft QDK
- Azure Quantum
Puntuación AHP
Q# Puntuación AHP: 2.85 (#193)