Paradigm
Functional, Object-Oriented, Imperative
Execution
JIT, AOT
Typing
Dynamic
Null Safety
NO
Memory Management
Garbage Collection
Julia is a high-level, high-performance dynamic programming language designed to be fast while remaining expressive and easy to use. It has execution speeds comparable to C and is particularly well-suited for scientific computing and data analysis. Julia is popular among researchers and data scientists due to its rich ecosystem of specialized packages.
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.
OS: Linux/DockerCPU: Ryzen 7 7800X3DLast Updated: 2025-05-04