carculator allows to: 1. produce life cycle assessment results that include conventional midpoint impact assessment indicators as well cost indicators 2. calculate hot pollutant and noise emissions based on a specified driving cycle produce error propagation analyzes (i.e., Monte Carlo) while preserving relations between inputs and outputs 3. control all the parameters sensitive to the foreground model (i.e., the vehicles) but also to the background model (i.e., supply of fuel, battery chemistry, etc.) 4. and easily export the vehicle models as inventories to be further imported in the Brightway2 LCA framework carculator integrates well with Brightway2 and presamples. Extended from the initial work described in "Uncertain environmental footprint of current and future battery electric vehicles" by Cox, et al (2018).