Julia vs Python: 30 Metrics Comparison

Julia vs Python

Julia

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

Python

Python is a Object-Oriented, Functional, Procedural programming language first appeared in 1991, designed by Guido van Rossum. Main use cases: Web Development, Automation, Scripting.

30 Metrics

Metric Julia Python
GitHub Stars 44760 63766
Stack Overflow Tags 580727 877002
TIOBE Rank 64 9
RedMonk Rank 69 13
PYPL Rank 61 3
Average Salary (USD) 104904 129023
Job Postings 29801 41729
Benchmarks Score 0.8 0.97
Learning Curve Medium Hard
Community Size Medium Very Large
Documentation Quality 6 9
Ecosystem Maturity 9 10
Industry Adoption 6 10
Type System Complexity 7 9
Concurrency Support 6 10
Performance - Execution Speed 8 10
Performance - Memory Usage 8 9
Performance - Startup Time 7 9
Tooling Quality 8 9
Package Manager Quality 5 9
IDE Support 9 9
Debugging Experience 9 9
GitHub Stars Rank 49 7
Stack Overflow Tags Rank 51 4
Average Salary Rank 46 12
Job Postings Rank 46 9
Benchmarks Rank 33 9
Learning Curve Score 5 1
Community Size Score 6 10
AHP Score 6.71 8.31

AHP Score

  • Julia: 6.71 (#38)
  • Python: 8.31 (#7)
Julia           | ####### 6.71
Python          | ######## 8.31

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 Python

Web Development, Automation, Scripting, General Programming. Python is a Object-Oriented, Functional, Procedural programming language first appeared in 1991, designed by Guido van Rossum. Main use cases: Web Development, Automation, Scripting.

Hello World Example

Julia:

println("Hello, World!")

Python:

print('Hello, World!')

Other languages