Benchmarking programming languages and web frameworks
Julia Computation Benchmark
About Julia
Paradigm
Functional, Object-Oriented, Imperative
Execution
JIT, AOT
Typing
Dynamic
Null Safety
NO
Memory Management
Garbage Collection
Julia is a high-level, high-performance, general-purpose dynamic programming language. Julia is designed to be fast, with execution speeds comparable to C, while also being expressive and easy to use. It is particularly well-suited for scientific computing, data analysis, and machine learning, with a rich ecosystem of packages and libraries that make it a popular choice for researchers and data scientists.
Benchmarks
This benchmark tests how fast a programming language can perform mathematical computations without any I/O or memory allocation. We are using the Leibniz formula to approximate the value of PI. Please note that the memory usage also includes the memory used by the HTTP server. Ideally, the most lightweight HTTP server should be used to measure the raw memory usage of the runtime.