I don't believe anyone's released any compiled tools or libraries specifically for Bohmian simulations, but for a few simple examples in Python using RK4, Dane Odekirk has an excellent git repository here. I'd start with reading the pdf there, then look at the code—it shouldn't be too hard to follow.
There are also several Mathematica examples here, and Marlon Metzger has created these neat animations in MATLAB/POV-Ray—you can find the code in the appendix of his bachelor's thesis (linked on the same page).
For a more in depth look at computational approaches to Bohmian calculations (if you want to do your own coding), 'Quantum Dynamics with Trajectories' by Robert Wyatt is a good resource—although like many academic books if you don't have access it's quite expensive (also if it matters it doesn't cover Python specifically, just general methods).
Paulo Machado's doctoral thesis (advised by Wyatt), 'Computational Approach to Bohm's Quantum Mechanics', might also be of interest, which contains some general methods—with MATLAB code in an appendix.
I believe the books 'A Trajectory Description of Quantum Processes. I. Fundamentals' and 'A Trajectory Description of Quantum Processes. II. Applications' by Sanz and Miret-Artez also cover similar methods.