  We describe PyRaTE, a new, non-local thermodynamic equilibrium (non-LTE) line
radiative transfer code developed specifically for post-processing
astrochemical simulations. Population densities are estimated using the escape
probability method. When computing the escape probability, the optical depth is
calculated towards all directions with density, molecular abundance,
temperature and velocity variations all taken into account. A very easy-to-use
interface, capable of importing data from simulations outputs performed with
all major astrophysical codes, is also developed. The code is written in Python
using an `embarrassingly parallel' strategy and can handle all geometries and
projection angles. We benchmark the code by comparing our results with those
from RADEX (van der Tak et al. 2007) and against analytical solutions and
present case studies using hydrochemical simulations. The code is available on
GitHub (https://github.com/ArisTr/PyRaTE).
