Gurobi - 30 Metrics & AHP Score
Introduction
Gurobi is a Declarative, Mathematical programming language first appeared in 2008, designed by Gurobi Optimization. Main use cases: Optimization Modeling, Operations Research, LP/MIP.
30 Metrics
| Metric | Value | Rank |
|---|---|---|
| GitHub Stars | 19056 | 169 |
| Stack Overflow Tags | 328244 | 138 |
| TIOBE Rank | 133 | |
| RedMonk Rank | 137 | |
| PYPL Rank | 144 | |
| Average Salary (USD) | 60557 | 183 |
| Job Postings | 12899 | 170 |
| Benchmarks Score | 0.42 | 136 |
| Learning Curve | Easy | |
| Community Size | Small | |
| Documentation Quality | 3 | |
| Ecosystem Maturity | 3 | |
| Industry Adoption | 2 | |
| Type System Complexity | 2 | |
| Concurrency Support | 7 | |
| Performance - Execution Speed | 5 | |
| Performance - Memory Usage | 6 | |
| Performance - Startup Time | 5 | |
| Tooling Quality | 3 | |
| Package Manager Quality | 4 | |
| IDE Support | 2 | |
| Debugging Experience | 2 | |
| GitHub Stars Rank | 169 | |
| Stack Overflow Tags Rank | 138 | |
| Average Salary Rank | 183 | |
| Job Postings Rank | 170 | |
| Benchmarks Rank | 136 | |
| Learning Curve Score | 8 | |
| Community Size Score | 2 | |
| AHP Score | 3.88 | 138 |
Hello World Example
display 'Hello, World!';
Main Use Cases
- Optimization Modeling
- Operations Research
- LP/MIP
Popular Frameworks
- Gurobi Optimizer
AHP Score
Gurobi AHP Score: 3.88 (#138)