MCP Server

goldenmatch

by benseverndev-oss

Zero-config entity resolution. The zero-tuning Fellegi-Sunter path beats hand-rolled Splink head-to-head; scales from a CSV to a verified 100M-row dedupe in 9.2 min on Ray. Fuzzy/exact/probabilistic + PPRL + LLM, identity graph. Python + edge-safe TypeScript (optional WASM), SQL-native in Postgres & DuckDB, MCP/REST + dbt/Airflow.

โ˜… 117 stars11 forksActivePython
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Not scored

๐Ÿ“Š Score Breakdown

๐Ÿ›ก๏ธSecurity30%
โ€”/5
โšกUtility30%
โ€”/5
๐Ÿ”„Maintenance25%
โ€”/5
๐Ÿ’ŽUniqueness15%
โ€”/5

Overall = Security (30%) + Utility (30%) + Maintenance (25%) + Uniqueness (15%). Full methodology โ†’

โ„น๏ธ Details

Category

๐Ÿ” Search & Data Extraction

Ecosystem

MCP Server

Language

Python

Pricing

Free

License

MIT

Status

Active

Platforms

claude

๐Ÿ“ˆ GitHub Signals

117

Stars

11

Forks

0

Commits (30d)

53

Open Issues

Last commit: 4 days ago

active-learningagentairflowauto-configdata-engineeringdata-qualitydeduplicationentity-resolution

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