FONN (FOlk N-gram aNalysis) repo targets the identification of patterns that are useful in detecting relationships between pieces of music, with a particular focus on European musical heritage. At present, it includes three components: FONN: Work-in-progress on tools that make use of n-grams and Damerau-Levenshtein edit distance to explore melodic similarity between monophonic Irish folk tunes. Ceol Rince na hÉireann (CRÉ) corpus: A cleaned and annotated version of the Ceol Rince na hÉireann corpus of Irish traditional dance music, containing 1,224 monophonic MIDI files, and a csv table of root note values for each file. Root Key Detection: Work in progress on development of a Machine Learning-based root note detection algorithm, exploring the use of decision tree and random forest techniques to aggregate and improve the accuracy of an ensemble of root detection metrics.