benseverndev-oss/goldenmatch
benseverndev-oss
Python133updated 1mo ago
Python133updated 1mo agoZero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats hand-tuned Splink. Arrow-native/Rust, 250M rows in 11.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, 97 MCP tools + REST.
ClaudeCodexCursorMCP
data-cleaningdata-engineeringdata-matchingdata-qualitydeduplicationentity-resolutionfellegi-sunterfuzzy-matchingknowledge-graphllmmaster-data-managementmcp-server
README
<!-- mcp-name: io.github.benseverndev-oss/goldenmatch -->
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🟡 Golden Suite
A polyglot data-quality and entity-resolution toolkit. Polished, opinionated, AI-native.
GoldenCheck profiles → GoldenFlow standardizes → GoldenMatch deduplicates → GoldenAnalysis reports, all orchestrated by GoldenPipe. With InferMap for schema mapping, a Rust extension layer for Postgres / DuckDB, and optional WebAssembly acceleration behind the edge-safe TypeScript ports.
⚡ GoldenMatch scales from a CSV on your laptop to 100M+ rows on a Ray cluster — verified: 100,000,000 records deduped recall-complete (correct across any partitioning) in 9.2 min, with a 0.36 GB driver footprint.
<br> <!-- Headline package: goldenmatch --> <!-- Quality / proof -->[![Fellegi-Sunter beats hand-rolled Splink](https://img.shields.io/badge/Fellegi--Sunter-beats%20hand--rolle