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We present allesfitter, a tool for flexible and robust inference of stars and exoplanets given photometric and radial velocity (RV) data. allesfitter offers a rich selection of orbital and transit models, accommodating multiple exoplanets, multi-star systems, star spots, stellar flares, and various noise models. It features both parameter estimation and model selection. A graphical user interface allows to specify input parameters, and to easily run a nested sampling or Markov Chain Monte Carlo (MCMC) fit, producing publication-ready tables, LaTex code, and plots. For all this, allesfitter provides an inference framework that unites the versatile packages ellc (light curve and RV models; Maxted 2016), aflare (flare model; Davenport et al. 2014), dynesty (static and dynamic nested sampling; https://github.com/joshspeagle/dynesty), emcee (MCMC sampling; Foreman-Mackey et al. 2013) and celerite (Gaussian Process models; Foreman-Mackey et al. 2017). The code is publicly available at https://github.com/MNGuenther/allesfitter.