R vs Go : comparaison de 30 métriques

R vs Go

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.

Go

Go est un langage de programmation Procedural, Object-Oriented, Generic apparu en 2009, conçu par Google. Cas d’usage principaux : Systems Programming, Embedded, Performance-Critical Applications.

30 métriques

MétriqueRGo
GitHub Stars5830259948
Stack Overflow Tags729989818506
TIOBE Rank3638
RedMonk Rank2031
PYPL Rank2432
Average Salary (USD)122736115006
Job Postings3832940063
Benchmarks Score1.00.82
Learning CurveHardHard
Community SizeVery LargeLarge
Documentation Quality810
Ecosystem Maturity109
Industry Adoption88
Type System Complexity910
Concurrency Support86
Performance - Execution Speed88
Performance - Memory Usage99
Performance - Startup Time86
Tooling Quality88
Package Manager Quality910
IDE Support88
Debugging Experience98
GitHub Stars Rank2019
Stack Overflow Tags Rank2517
Average Salary Rank2328
Job Postings Rank2216
Benchmarks Rank428
Learning Curve Score22
Community Size Score98
AHP Score7.667.5

Score AHP

  • R: 7.66 (#23)
  • Go: 7.5 (#25)
R               | ######## 7.66
Go              | ######## 7.5

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.

Quand choisir Go

Systems Programming, Embedded, Performance-Critical Applications. Go est un langage de programmation Procedural, Object-Oriented, Generic apparu en 2009, conçu par Google. Cas d’usage principaux : Systems Programming, Embedded, Performance-Critical Applications.

Exemple Hello World

R:

print('Hello, World!')

Go:

package main
import "fmt"
func main(){ fmt.Println("Hello, World!") }

Andere Sprachen