Gurobi - 30 مقياس ونتيجة AHP
مقدمة
Gurobi هي لغة برمجة Declarative, Mathematical ظهرت لأول مرة في عام 2008، صممها Gurobi Optimization. حالات الاستخدام الرئيسية: Optimization Modeling, Operations Research, LP/MIP.
30 مقياس
| المقياس | القيمة | الترتيب |
|---|---|---|
| GitHub Stars | 21056 | 159 |
| Stack Overflow Tags | 247944 | 169 |
| TIOBE Rank | 132 | |
| RedMonk Rank | 144 | |
| PYPL Rank | 144 | |
| Average Salary (USD) | 71105 | 140 |
| Job Postings | 14668 | 154 |
| Benchmarks Score | 0.4 | 140 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 2 | |
| Ecosystem Maturity | 3 | |
| Industry Adoption | 3 | |
| Type System Complexity | 1 | |
| Concurrency Support | 3 | |
| Performance - Execution Speed | 5 | |
| Performance - Memory Usage | 6 | |
| Performance - Startup Time | 6 | |
| Tooling Quality | 2 | |
| Package Manager Quality | 3 | |
| IDE Support | 2 | |
| Debugging Experience | 3 | |
| GitHub Stars Rank | 159 | |
| Stack Overflow Tags Rank | 169 | |
| Average Salary Rank | 140 | |
| Job Postings Rank | 154 | |
| Benchmarks Rank | 140 | |
| Learning Curve Score | 10 | |
| Community Size Score | 3 | |
| AHP Score | 3.95 | 141 |
مثال Hello World
display 'Hello, World!';
حالات الاستخدام الرئيسية
- Optimization Modeling
- Operations Research
- LP/MIP
الأطر الشائعة
- Gurobi Optimizer
نتيجة AHP
Gurobi نتيجة AHP: 3.95 (#141)