#Fuzzy-matching
Showing 22 of 22 repositories tagged #fuzzy-matching, ranked by stars
A very fast, portable and hackable fuzzy finder.
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
Semi-automated, feedback-driven tool to rapidly search through troves of public data on GitHub for sensitive secrets.
A fast and convenient fuzzy matcher library for rust
Scalable master data management, identity resolution, entity resolution, and deduplication using ML
Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
Instant fuzzy find any file on macOS
Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
An accessible browser compatible javascript command palette
📛 Fuzzy Name Matching with Machine Learning
Python library for processing (tandem) mass spectrometry data and for computing spectral similarities.
Fuzzy matching and more functionality for spaCy.
Zero-config entity resolution & record linkage. The zero-tuning Fellegi-Sunter path beats hand-tuned Splink head-to-head and scales from a CSV to a verified 100M-row dedupe in 9.2 min. Fuzzy/exact/probabilistic + PPRL + LLM + identity graph. Python + edge-safe TypeScript (WASM), SQL-native in Postgres & DuckDB, MCP/REST + dbt/Airflow.
A small package to fuzzy match chinese words
Swfit library for fuzzy search. No dependencies lib.
An open-source library that leverages Python’s data science ecosystem to build powerful end-to-end Entity Resolution workflows.
Fuzzy shell completions you didn't know you needed
🌀 An interactive fuzzy finder for the terminal
A better replacement for the VSCode file picker
Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
Cargo subcommand to easily run targets/examples
Applies diffs based on context, not line numbers. Useful for AI-generated code.