Julia - 30 Metrics & AHP Score
Julia is a Multi-paradigm programming language first appeared in 2012, designed by MIT. Main use cases: Data Science, Scientific Computing, Statistics.
Introduction
Julia is a Multi-paradigm programming language first appeared in 2012, designed by MIT. Main use cases: Data Science, Scientific Computing, Statistics.
30 Metrics
| Metric | Value | Rank |
|---|---|---|
| GitHub Stars | 44778 | 46 |
| Stack Overflow Tags | 644003 | 39 |
| TIOBE Rank | 68 | |
| RedMonk Rank | 68 | |
| PYPL Rank | 55 | |
| Average Salary (USD) | 95872 | 66 |
| Job Postings | 31125 | 45 |
| Benchmarks Score | 0.57 | 80 |
| Learning Curve | Medium | |
| Community Size | Large | |
| Documentation Quality | 8 | |
| Ecosystem Maturity | 8 | |
| Industry Adoption | 6 | |
| Type System Complexity | 5 | |
| Concurrency Support | 8 | |
| Performance - Execution Speed | 9 | |
| Performance - Memory Usage | 9 | |
| Performance - Startup Time | 10 | |
| Tooling Quality | 5 | |
| Package Manager Quality | 9 | |
| IDE Support | 4 | |
| Debugging Experience | 6 | |
| GitHub Stars Rank | 46 | |
| Stack Overflow Tags Rank | 39 | |
| Average Salary Rank | 66 | |
| Job Postings Rank | 45 | |
| Benchmarks Rank | 80 | |
| Learning Curve Score | 5 | |
| Community Size Score | 7 | |
| AHP Score | 6.68 | 45 |
Hello World Example
println("Hello, World!")
Main Use Cases
- Data Science
- Scientific Computing
- Statistics
- Visualization
Popular Frameworks
- Plots.jl
- Flux.jl
- DataFrames.jl
AHP Score
Julia AHP Score: 6.68 (#45)