madmatcher-pro documentation¶
MadMatcher’s premium entity-matching stack: Sparkly (TF/IDF blocking), Delex (DAG multi-strategy blocking), MatchFlow (ML matching with active learning), and semantic (dense / embedding) blocking, with built-in crash recovery and a live progress dashboard. The real-time matching add-on serves one incoming record at a time from a published bundle, in-process, with no Spark on the request path for an sklearn matcher.
If you are new here, start with a tutorial: each is a step-by-step walkthrough from loading data to saving blocking or matching output. Run the matching demo first to confirm your install, then read the tutorial to understand each step. The API reference documents every class and function you call, organized by area.
Tutorials
Demos