The paper introduces BEAST 1.7, a Bayesian evolutionary analysis software package that implements Markov chain Monte Carlo (MCMC) algorithms for phylogenetic inference, divergence time dating, coalescent analysis, and phylogeography. It includes BEAUti, a graphical user interface that allows users to specify advanced models for molecular sequence and phenotypic trait evolution. The package provides new tools for visualizing and summarizing multispecies coalescent and phylogeographic analyses. BEAUti and BEAST 1.7 are open source under the GNU Lesser General Public License and available at http://beast-mcmc.googlecode.com and http://beast.bio.ed.ac.uk. The software supports a wide range of analyses, including Bayesian inference of molecular sequences with time-structured evolutionary models, phylodynamic models, divergence time estimates, multilocus demographic models, gene/species tree inference, spatial phylogeographic analyses, and discrete and continuous trait evolution. It also allows for the integration of heterogeneous data, including multiple data partitions, fossil calibration, and trait information. The package includes advanced models for tree prior specifications, such as the extended Bayesian skyline model, the flexible Gaussian Markov random field skyride model, and birth-death models of speciation. The multispecies coalescent model is fully Bayesian and improves the accuracy and precision of species tree reconstruction and divergence time estimation. The software also provides tools for mapping posterior distributions of trees onto higher dimensional or geographic maps for visualization and interactive exploration. The relaxed clock models have been refined to allow more than one branch to have the same rate value, and a new random local clock (RLC) model is introduced, which nests all possible local clock configurations and a strict clock. BEAST 1.7 integrates with the BEAGLE library for high-performance computing, significantly decreasing run times. The paper presents examples of the software's application, including the reconstruction of the gene tree of Darwin's finches and the analysis of a mitochondrial genome fragment. The software is available in both executable and source code forms and is supported by various funding sources. Future development directions include improving the user experience through hierarchical phylogenetics models, Markov jump methods, and phylogeographic models in a convenient geographical user interface.The paper introduces BEAST 1.7, a Bayesian evolutionary analysis software package that implements Markov chain Monte Carlo (MCMC) algorithms for phylogenetic inference, divergence time dating, coalescent analysis, and phylogeography. It includes BEAUti, a graphical user interface that allows users to specify advanced models for molecular sequence and phenotypic trait evolution. The package provides new tools for visualizing and summarizing multispecies coalescent and phylogeographic analyses. BEAUti and BEAST 1.7 are open source under the GNU Lesser General Public License and available at http://beast-mcmc.googlecode.com and http://beast.bio.ed.ac.uk. The software supports a wide range of analyses, including Bayesian inference of molecular sequences with time-structured evolutionary models, phylodynamic models, divergence time estimates, multilocus demographic models, gene/species tree inference, spatial phylogeographic analyses, and discrete and continuous trait evolution. It also allows for the integration of heterogeneous data, including multiple data partitions, fossil calibration, and trait information. The package includes advanced models for tree prior specifications, such as the extended Bayesian skyline model, the flexible Gaussian Markov random field skyride model, and birth-death models of speciation. The multispecies coalescent model is fully Bayesian and improves the accuracy and precision of species tree reconstruction and divergence time estimation. The software also provides tools for mapping posterior distributions of trees onto higher dimensional or geographic maps for visualization and interactive exploration. The relaxed clock models have been refined to allow more than one branch to have the same rate value, and a new random local clock (RLC) model is introduced, which nests all possible local clock configurations and a strict clock. BEAST 1.7 integrates with the BEAGLE library for high-performance computing, significantly decreasing run times. The paper presents examples of the software's application, including the reconstruction of the gene tree of Darwin's finches and the analysis of a mitochondrial genome fragment. The software is available in both executable and source code forms and is supported by various funding sources. Future development directions include improving the user experience through hierarchical phylogenetics models, Markov jump methods, and phylogeographic models in a convenient geographical user interface.