  We present ADerrors.jl, a software for linear error propagation and analysis
of Monte Carlo data. Although the focus is in data analysis in Lattice QCD,
where estimates of the observables have to be computed from Monte Carlo
samples, the software also deals with variables with uncertainties, either
correlated or uncorrelated. Thanks to automatic differentiation techniques
linear error propagation is performed exactly, even in iterative algorithms
(i.e. errors in parameters of non-linear fits). In this contribution we present
an overview of the capabilities of the software, including access to
uncertainties in fit parameters and dealing with correlated data. The software,
written in julia, is available for download and use in
https://gitlab.ift.uam-csic.es/alberto/aderrors.jl
