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 1972, designed by Dennis Ritchie. Main use cases: Systems Programming, Embedded, Performance-Critical Applications.

30 Metrics

Metric Julia C
GitHub Stars 44760 61804
Stack Overflow Tags 580727 860669
TIOBE Rank 64 6
RedMonk Rank 69 11
PYPL Rank 61 8
Average Salary (USD) 104904 132367
Job Postings 29801 41524
Benchmarks Score 0.8 0.83
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 8
Concurrency Support 6 9
Performance - Execution Speed 8 10
Performance - Memory Usage 8 9
Performance - Startup Time 7 10
Tooling Quality 8 8
Package Manager Quality 5 10
IDE Support 9 8
Debugging Experience 9 9
GitHub Stars Rank 49 13
Stack Overflow Tags Rank 51 6
Average Salary Rank 46 7
Job Postings Rank 46 11
Benchmarks Rank 33 24
Learning Curve Score 5 2
Community Size Score 6 9
AHP Score 6.71 8.28

AHP Score

  • Julia: 6.71 (#38)
  • C: 8.28 (#9)
Julia           | ####### 6.71
C               | ######## 8.28

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 1972, designed by Dennis Ritchie. Main use cases: Systems Programming, Embedded, Performance-Critical Applications.

Hello World Example

Julia:

println("Hello, World!")

C:

#include <stdio.h>
int main(){ printf("Hello, World!\n"); return 0; }

Other languages