Chairmarks measures performance hundreds of times faster than BenchmarkTools without compromising on accuracy.
Installation
julia> import Pkg; Pkg.add("Chairmarks")Usage
julia> using Chairmarks
julia> @b rand(1000) # How long does it take to generate a random array of length 1000?
720.214 ns (3 allocs: 7.875 KiB)
julia> @b rand(1000) hash # How long does it take to hash that array?
1.689 μs
julia> @b rand(1000) _.*5 # How long does it take to multiply it by 5 element wise?
172.970 ns (3 allocs: 7.875 KiB)
julia> @b rand(100,100) inv,_^2,sum # Is it be faster to invert, square, or sum a matrix? [THIS USAGE IS EXPERIMENTAL]
(92.917 μs (9 allocs: 129.203 KiB), 27.166 μs (3 allocs: 78.203 KiB), 1.083 μs)