Deep brain stimulation (DBS) is a technique for disruption of pathological activity in the brain by the use of chronically implanted electrodes in the central parts of the brain. DBS is used in e.g. Parkinson’s disease, essential tremor and dystonia and is under investigation for severe cases of Tourette syndrome and obsessive-compulsive disorder. While DBS is nowadays a well-established technique, optimal targeting of brain structures is still not fully known. One way to investigate this is to perform finite element method (FEM) simulations of the activated tissue around the active DBS electrode contacts. The FEM simulations can then be compared with the clinical outcomes of symptom improvement and potential detrimental side effects in the patients. A gratis open access software package for patient-specific FEM simulations based on pre-complied modules is presented. It is based on tissue classification from preoperative magnetic resonance imaging. In the first part, ELMA, the tissue is classified into grey matter, white matter, blood and cerebrospinal fluid. Electric conductivity is assigned based of tissue type and is then used in the second part, DBSim, where patient-specific FEM simulations of the electric field around the DBS electrodes are performed. These simulations can then be used to estimate the volume of tissue activated directly from the electric field magnitude thresholds for different axon diameters or be exported for direct simulation of axon activation in other software. The software package is available for free download at https://liu.se/en/article/ne-downloads