  Transiting exoplanet parameter estimation from time-series photometry and
Doppler spectroscopy is fundamental to study planets' internal structures and
compositions. Here we present the code pyaneti, a powerful and user-friendly
software suite to perform multi-planet radial velocity and transit data
fitting. The code uses a Bayesian approach combined with an MCMC sampling to
estimate the parameters of planetary systems. We combine the numerical
efficiency of FORTRAN, the versatility of PYTHON, and the parallelization of
OpenMP to make pyaneti a fast and easy to use code. The package is freely
available at https://github.com/oscaribv/pyaneti.
