Glob for C++17
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Updated
Oct 4, 2026 - C++
Glob for C++17
Entity resolution for Elasticsearch.
Reproducible benchmark for sanctions name-screening effectiveness. Measures recall across 18 documented classes of name variation — transliteration, Unicode homoglyph evasion, OCR degradation — with synthetic negative controls
A library for matching and comparing company names using a fine-tuned sentence transformer model
A robust name matching library for Node.js that combines multiple string similarity algorithms for optimal name matching performance.
Compares two names and gives a score or similarity percentage.
Packages for downloading the World Checklist of Vascular Plants (WCVP) and resolving plant names to it
Name Matching ML model for entity resolution and transaction monitoring
Find the best fuzzy match for a natural language string in a set of hundreds of thousands of strings in a split second.
Deep fuzzy matching people and company names for multilingual entity resolution using representation learning
Extract the components of a person or couples full name, from free form text
A simple python class for fuzzy name matching
Intelligent company name cleaning and normalization for Python. Entity resolution for messy data with fuzzy matching.
Offline taxonomic name matching against local Darwin Core backbone databases
Generic Beider-Morse Phonetic Matching for Watchman phonetic boosting
Papers, algorithm specs, and Watchman notes for PhonoGrams name-matching libraries
Soft-Bidist: character-bigram edit distance for personal-name matching (Watchman / OFAC)
Soft-Bisim: character-bigram similarity for look-alike name matching (Watchman / OFAC)
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