While looking for different benchmarks I’ve found It’s supposed to be faster than Julia for many operations, though it doesn’t have so many libraries:
[https://gist.github.com/sdwfrost/7c660322c6c33961297a826df4cbc30d](https://gist.github.com/sdwfrost/7c660322c6c33961297a826df4cbc30d) julia_nim_cpp_r_sir.md This gist compares the performance of Julia, Nim, C++ and R - the latter using either [POMP]([http://kingaa.github.io/pomp/)](http://kingaa.github.io/pomp/\)), or [LibBi]([http://libbi.org/](http://libbi.org/)) in a simple simulation of an [SIR]([https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology#The_SIR_model](https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology#The_SIR_model)) epidemiological model. In addition to keeping track of susceptibles, infecteds and recovereds, I also store the cumulative number of infections. Time moves in discrete steps, and the algorithm avoids language-specific syntax features to make the comparison as fair as possible, including using the same algorithm for generating binomial random numbers and the same random number generator; the exception are the R versions, POMP uses the standard R Mersenne Twister for the random number generator; I'm not sure what LibBi uses. The algorithm for generating random binomial numbers is only really suitable for small np. Benchmarks were run on a Mac Pro (Late 2013), with 3 Ghz 8-core Intel Xeon E3, 64GB 1866 Mhz RAM, running OSX v 10.11.3 (El Capitan), using Julia v0.6.1, Nim v0.17.3, clang v5.0.0, emscripten v1.37.34, node v8.9.1, and R v3.3.2. ## Nim version ### Native Compile using: This file has been truncated. show original nim.cfg @if asmjs or wasm: d:emscripten @end @if emscripten or asmjs or wasm: o:"index.html" @if not wasm: d:asmjs @end This file has been truncated. show original sir.cpp #include <array> #include <vector> #include <cmath> #include <iostream> #include <climits> #include <limits> #include <iterator> #include <numeric> #include <chrono> This file has been truncated. show original There are more than three files. show original
