Xpress - 30 Metrics & AHP Score
Introduction
Xpress is a Declarative, Mathematical programming language first appeared in 1983, designed by Dash Optimization. Main use cases: Optimization Modeling, Operations Research, LP/MIP.
30 Metrics
| Metric | Value | Rank |
|---|---|---|
| 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 Example
writeln('Hello, World!')
Main Use Cases
- Optimization Modeling
- Operations Research
- LP/MIP
Popular Frameworks
- Xpress Mosel
AHP Score
Xpress AHP Score: 2.88 (#192)