Julia vs Java: 30 Metrics Comparison

Julia vs Java

Julia

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

Java

Java is a Object-Oriented, Functional programming language first appeared in 1995, designed by James Gosling. Main use cases: Backend Services, Enterprise Applications, Android.

30 Metrics

Metric Julia Java
GitHub Stars 44760 67614
Stack Overflow Tags 580727 836938
TIOBE Rank 64 4
RedMonk Rank 69 2
PYPL Rank 61 19
Average Salary (USD) 104904 126537
Job Postings 29801 41128
Benchmarks Score 0.8 0.91
Learning Curve Medium Hard
Community Size Medium Very Large
Documentation Quality 6 8
Ecosystem Maturity 9 9
Industry Adoption 6 9
Type System Complexity 7 9
Concurrency Support 6 10
Performance - Execution Speed 8 10
Performance - Memory Usage 8 10
Performance - Startup Time 7 10
Tooling Quality 8 10
Package Manager Quality 5 9
IDE Support 9 9
Debugging Experience 9 10
GitHub Stars Rank 49 2
Stack Overflow Tags Rank 51 10
Average Salary Rank 46 15
Job Postings Rank 46 12
Benchmarks Rank 33 14
Learning Curve Score 5 3
Community Size Score 6 10
AHP Score 6.71 8.41

AHP Score

  • Julia: 6.71 (#38)
  • Java: 8.41 (#5)
Julia           | ####### 6.71
Java            | ######## 8.41

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 Java

Backend Services, Enterprise Applications, Android. Java is a Object-Oriented, Functional programming language first appeared in 1995, designed by James Gosling. Main use cases: Backend Services, Enterprise Applications, Android.

Hello World Example

Julia:

println("Hello, World!")

Java:

public class Main { public static void main(String[] a){ System.out.println("Hello, World!"); } }

Other languages