Julia vs C++: 30 Metrics Comparison

Julia vs C++

Julia

Julia is a Multi-paradigm programming language first appeared in 2012, designed by MIT. Main use cases: Data Science, Scientific Computing, Statistics.

C++

C++ is a Procedural, Object-Oriented, Generic programming language first appeared in 1985, designed by Bjarne Stroustrup. Main use cases: Systems Programming, Embedded, Performance-Critical Applications.

30 Metrics

Metric Julia C++
GitHub Stars 44760 65302
Stack Overflow Tags 580727 832809
TIOBE Rank 64 7
RedMonk Rank 69 11
PYPL Rank 61 9
Average Salary (USD) 104904 128124
Job Postings 29801 43598
Benchmarks Score 0.8 1.05
Learning Curve Medium Hard
Community Size Medium Very Large
Documentation Quality 6 10
Ecosystem Maturity 9 10
Industry Adoption 6 10
Type System Complexity 7 7
Concurrency Support 6 10
Performance - Execution Speed 8 9
Performance - Memory Usage 8 8
Performance - Startup Time 7 7
Tooling Quality 8 10
Package Manager Quality 5 10
IDE Support 9 10
Debugging Experience 9 10
GitHub Stars Rank 49 5
Stack Overflow Tags Rank 51 11
Average Salary Rank 46 13
Job Postings Rank 46 5
Benchmarks Rank 33 2
Learning Curve Score 5 3
Community Size Score 6 10
AHP Score 6.71 8.5

AHP Score

  • Julia: 6.71 (#38)
  • C++: 8.5 (#1)
Julia           | ####### 6.71
C++             | ######## 8.5

When to choose Julia

Data Science, Scientific Computing, Statistics, Visualization. Julia is a Multi-paradigm programming language first appeared in 2012, designed by MIT. Main use cases: Data Science, Scientific Computing, Statistics.

When to choose C++

Systems Programming, Embedded, Performance-Critical Applications. C++ is a Procedural, Object-Oriented, Generic programming language first appeared in 1985, designed by Bjarne Stroustrup. Main use cases: Systems Programming, Embedded, Performance-Critical Applications.

Hello World Example

Julia:

println("Hello, World!")

C++:

#include <iostream>
int main(){ std::cout << "Hello, World!"; }

Other languages