  We introduce the SmoQyDEAC.jl package, a Julia implementation of the
Differential Evolution Analytic Continuation (DEAC) algorithm [N. S. Nichols et
al., Phys. Rev. E 106, 025312 (2022)] for analytically continuing noisy
imaginary time correlation functions to the real frequency axis. Our
implementation supports fermionic and bosonic correlation functions on either
the imaginary time or Matsubara frequency axes, and treatment of the covariance
error in the input data. This paper presents an overview of the DEAC algorithm
and the features implemented in the SmoQyDEAC.jl. It also provides detailed
benchmarks of the package's output against the popular maximum entropy and
stochastic analytic continuation methods. The code for this package can be
downloaded from our GitHub repository at
https://github.com/SmoQySuite/SmoQyDEAC.jl or installed using the Julia package
manager. The online documentation, including examples, can be accessed at
https://smoqysuite.github.io/SmoQyDEAC.jl/stable/.
