Q# - 30 метрик и оценка AHP
Введение
Q# — это Multi-paradigm язык программирования, впервые появившийся в 2017 году, разработанный Microsoft. Основные применения: Data Science, Scientific Computing, Statistics.
30 метрик
| Метрика | Значение | Ранг |
|---|---|---|
| GitHub Stars | 15390 | 186 |
| Stack Overflow Tags | 186259 | 191 |
| TIOBE Rank | 148 | |
| RedMonk Rank | 155 | |
| PYPL Rank | 147 | |
| Average Salary (USD) | 56671 | 191 |
| Job Postings | 12207 | 177 |
| Benchmarks Score | 0.4 | 145 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 3 | |
| Ecosystem Maturity | 4 | |
| Industry Adoption | 2 | |
| Type System Complexity | 2 | |
| Concurrency Support | 4 | |
| Performance - Execution Speed | 4 | |
| Performance - Memory Usage | 5 | |
| Performance - Startup Time | 2 | |
| Tooling Quality | 2 | |
| Package Manager Quality | 1 | |
| IDE Support | 3 | |
| Debugging Experience | 1 | |
| GitHub Stars Rank | 186 | |
| Stack Overflow Tags Rank | 191 | |
| Average Salary Rank | 191 | |
| Job Postings Rank | 177 | |
| Benchmarks Rank | 145 | |
| Learning Curve Score | 10 | |
| Community Size Score | 2 | |
| AHP Score | 3.53 | 164 |
Пример Hello World
namespace Hello { @EntryPoint() operation HelloQ() : Unit { Message("Hello, World!") } }
Основные применения
- Data Science
- Scientific Computing
- Statistics
- Visualization
Популярные фреймворки
- Microsoft QDK
- Azure Quantum
Оценка AHP
Q# Оценка AHP: 3.53 (#164)