This paper presents a framework for the analysis and exploration of performance space. It enables the user to visualize performances in relation to other performances of the same piece based on a set of features extracted from audio. A performance space is formed from a set of performances through spectral analysis, alignment, dimensionality reduction and visualization. Operation of the system is demonstrated initially with synthetic MIDI performances and then with a case study of recorded piano performances.