Cancers evolve over time and space, producing a dynamic, heterogeneous mixture of related cells. Reconstructing the evolution of each cancer requires sequencing tumour cells and processing resulting data with novel computational and statistical methods. These advances have led to numerous insights, both clinical and biological, but the ability for a biologist to interact with these results across an experimental workflow remains limited, with expert intuition often injected only through cumbersome iterations of data analysis. Here we describe E-scape, a visualization tool suite enabling interactive analysis of cancer heterogeneity and evolution. The suite includes three tools: TimeScape and MapScape for visualizing population dynamics over time and space, respectively, and CellScape for visualizing evolution at single cell resolution. The tools integrate phylogenetic, clonal prevalence, mutation and imaging data to generate intuitive views of a cancer's evolution.