Julia - 30 métriques et score AHP
Introduction
Julia est un langage de programmation Multi-paradigm apparu en 2012, conçu par MIT. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.
30 métriques
| Métrique | Valeur | Rang |
|---|---|---|
| GitHub Stars | 44760 | 49 |
| Stack Overflow Tags | 580727 | 51 |
| TIOBE Rank | 64 | |
| RedMonk Rank | 69 | |
| PYPL Rank | 61 | |
| Average Salary (USD) | 104904 | 46 |
| Job Postings | 29801 | 46 |
| Benchmarks Score | 0.8 | 33 |
| Learning Curve | Medium | |
| Community Size | Medium | |
| Documentation Quality | 6 | |
| Ecosystem Maturity | 9 | |
| Industry Adoption | 6 | |
| Type System Complexity | 7 | |
| Concurrency Support | 6 | |
| Performance - Execution Speed | 8 | |
| Performance - Memory Usage | 8 | |
| Performance - Startup Time | 7 | |
| Tooling Quality | 8 | |
| Package Manager Quality | 5 | |
| IDE Support | 9 | |
| Debugging Experience | 9 | |
| GitHub Stars Rank | 49 | |
| Stack Overflow Tags Rank | 51 | |
| Average Salary Rank | 46 | |
| Job Postings Rank | 46 | |
| Benchmarks Rank | 33 | |
| Learning Curve Score | 5 | |
| Community Size Score | 6 | |
| AHP Score | 6.71 | 38 |
Exemple Hello World
println("Hello, World!")
Cas d’usage principaux
- Data Science
- Scientific Computing
- Statistics
- Visualization
Frameworks populaires
- Plots.jl
- Flux.jl
- DataFrames.jl
Score AHP
Julia Score AHP: 6.71 (#38)