Julia vs npm: 30 Metrics Comparison

Julia vs npm

Julia

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

npm

npm is a Declarative, Imperative programming language first appeared in 2010, designed by Isaac Schlueter. Main use cases: Package Management, Dependency Resolution.

30 Metrics

Metric Julia npm
GitHub Stars 44760 67318
Stack Overflow Tags 580727 893846
TIOBE Rank 64 17
RedMonk Rank 69 20
PYPL Rank 61 10
Average Salary (USD) 104904 132555
Job Postings 29801 43909
Benchmarks Score 0.8 0.84
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 8
Performance - Execution Speed 8 9
Performance - Memory Usage 8 9
Performance - Startup Time 7 7
Tooling Quality 8 10
Package Manager Quality 5 9
IDE Support 9 9
Debugging Experience 9 9
GitHub Stars Rank 49 3
Stack Overflow Tags Rank 51 1
Average Salary Rank 46 6
Job Postings Rank 46 2
Benchmarks Rank 33 23
Learning Curve Score 5 3
Community Size Score 6 9
AHP Score 6.71 8.28

AHP Score

  • Julia: 6.71 (#38)
  • npm: 8.28 (#10)
Julia           | ####### 6.71
npm             | ######## 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 npm

Package Management, Dependency Resolution. npm is a Declarative, Imperative programming language first appeared in 2010, designed by Isaac Schlueter. Main use cases: Package Management, Dependency Resolution.

Hello World Example

Julia:

println("Hello, World!")

npm:

npm install express

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