Competitive & parity

How Mailwoman stacks up against Nominatim, PeliasPeliasAn open-source geocoder, Mailwoman's spiritual predecessor., and libpostallibpostalAn open-source C address parser used by Pelias. Mailwoman's rule-based v0 and neural classifier supersede it. — plus the parity scorecardsparity scorecardThe authoritative per-tag table tracking neural-vs-v0/Pelias F1 and resolver accuracy across head-to-head arenas. It answers 'where are we at parity, where do we still bleed?' and governs the parity campaign's priorities. and cross-modelneural classifierThe machine learning model at the core of Mailwoman's parser — a transformer encoder (~30M parameters) trained from scratch to do BIO token classification over addresses. It learns the 'grammar' of address formats; the gazetteer supplies the 'atlas.' failure reports that track it release over release.