Dockerfile vs R : comparaison de 30 métriques
Dockerfile vs R
Dockerfile
Dockerfile est un langage de programmation Declarative, Imperative apparu en 2013, conçu par Docker Inc.. Cas d’usage principaux : Infrastructure as Code, DevOps, Configuration Management.
R
R est un langage de programmation Multi-paradigm apparu en 1993, conçu par Ross Ihaka, Robert Gentleman. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.
30 métriques
| Métrique | Dockerfile | R |
|---|---|---|
| GitHub Stars | 54227 | 58302 |
| Stack Overflow Tags | 802098 | 729989 |
| TIOBE Rank | 31 | 36 |
| RedMonk Rank | 33 | 20 |
| PYPL Rank | 20 | 24 |
| Average Salary (USD) | 127584 | 122736 |
| Job Postings | 36163 | 38329 |
| Benchmarks Score | 0.77 | 1.0 |
| Learning Curve | Hard | Hard |
| Community Size | Large | Very Large |
| Documentation Quality | 7 | 8 |
| Ecosystem Maturity | 9 | 10 |
| Industry Adoption | 9 | 8 |
| Type System Complexity | 7 | 9 |
| Concurrency Support | 10 | 8 |
| Performance - Execution Speed | 9 | 8 |
| Performance - Memory Usage | 10 | 9 |
| Performance - Startup Time | 8 | 8 |
| Tooling Quality | 9 | 8 |
| Package Manager Quality | 10 | 9 |
| IDE Support | 9 | 8 |
| Debugging Experience | 9 | 9 |
| GitHub Stars Rank | 30 | 20 |
| Stack Overflow Tags Rank | 19 | 25 |
| Average Salary Rank | 14 | 23 |
| Job Postings Rank | 26 | 22 |
| Benchmarks Rank | 37 | 4 |
| Learning Curve Score | 3 | 2 |
| Community Size Score | 8 | 9 |
| AHP Score | 7.85 | 7.66 |
Score AHP
- Dockerfile: 7.85 (#21)
- R: 7.66 (#23)
Dockerfile | ######## 7.85
R | ######## 7.66
Quand choisir Dockerfile
Infrastructure as Code, DevOps, Configuration Management. Dockerfile est un langage de programmation Declarative, Imperative apparu en 2013, conçu par Docker Inc.. Cas d’usage principaux : Infrastructure as Code, DevOps, Configuration Management.
Quand choisir R
Data Science, Scientific Computing, Statistics, Visualization. R est un langage de programmation Multi-paradigm apparu en 1993, conçu par Ross Ihaka, Robert Gentleman. Cas d’usage principaux : Data Science, Scientific Computing, Statistics.
Exemple Hello World
Dockerfile:
FROM alpine
RUN echo Hello, World!
R:
print('Hello, World!')