Xpress - 30개 지표 및 AHP 점수
소개
Xpress은(는) 1983년에 처음 등장한 Declarative, Mathematical 프로그래밍 언어이며 Dash Optimization가 설계했습니다. 주요 용도: Optimization Modeling, Operations Research, LP/MIP.
30개 지표
| 지표 | 값 | 순위 |
|---|---|---|
| GitHub Stars | 12316 | 198 |
| Stack Overflow Tags | 187165 | 189 |
| TIOBE Rank | 153 | |
| RedMonk Rank | 159 | |
| PYPL Rank | 155 | |
| Average Salary (USD) | 53103 | 197 |
| Job Postings | 10867 | 183 |
| Benchmarks Score | 0.31 | 179 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 2 | |
| Ecosystem Maturity | 1 | |
| Industry Adoption | 1 | |
| Type System Complexity | 1 | |
| Concurrency Support | 1 | |
| Performance - Execution Speed | 3 | |
| Performance - Memory Usage | 4 | |
| Performance - Startup Time | 3 | |
| Tooling Quality | 1 | |
| Package Manager Quality | 3 | |
| IDE Support | 1 | |
| Debugging Experience | 2 | |
| GitHub Stars Rank | 198 | |
| Stack Overflow Tags Rank | 189 | |
| Average Salary Rank | 197 | |
| Job Postings Rank | 183 | |
| Benchmarks Rank | 179 | |
| Learning Curve Score | 10 | |
| Community Size Score | 2 | |
| AHP Score | 2.88 | 192 |
Hello World 예제
writeln('Hello, World!')
주요 용도
- Optimization Modeling
- Operations Research
- LP/MIP
인기 프레임워크
- Xpress Mosel
AHP 점수
Xpress AHP 점수: 2.88 (#192)