goldenmatch

Name: goldenmatch Review
Item: goldenmatch
Rating: 3.4
Author: Aaron Matthews

Skill Setup & Config Usable

Works inClaude Code

Usable Scanned — metadata only

Eliminates manual deduplication and record matching work that typically consumes hours per data cleanup cycle.

Entity resolution library for Python and TypeScript that dedupes and matches messy records into golden records with zero configuration — fuzzy, exact, probabilistic (Fellegi-Sunter), and LLM matching. Scores 96.4% F1 on the DBLP-ACM benchmark and scales from laptop CSVs to 100M+ rows on a Ray cluster. Includes an MCP server plus a wider data-quality suite (GoldenCheck, GoldenFlow, GoldenPipe, InferMap).

Merge duplicate customer records before loading into CDP
Deduplicate vendor master data across procurement systems
Resolve patient records across hospital EHR systems

128 starsMIT (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Eliminates manual deduplication and record matching work that typically consumes hours per data cleanup cycle. Reduces downstream data quality issues that corrupt reporting and customer analytics.

Best for

Data engineering and analytics teams managing CRM, customer database, or transactional records with duplicates and inconsistent entity references across systems.

Works in

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Source

https://github.com/benseverndev-oss/goldenmatch

By benzsevern

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

pip install goldenmatch

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me merge duplicate customer records before loading into CDP

CostFree

Trust Signals Auto-scanned

Stars128Contributors4Last updated2026-08-18LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-18 · scanner v1

Community Pulse Emerging

Discussed on Hacker News, Reddit

Show HN: GoldenMatch – Entity resolution with LLM scoring, 97% F1, no Spark — Hacker News · 3 pts
Show HN: GoldenMatch – 100M-row dedupe on Ray in 213s, no Spark, Arrow-native — Hacker News · 3 pts
GoldenMatch – Find duplicate records in 30 seconds. Zero-config entity resolutio — Reddit · 1 pts

3 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 128 GitHub stars; 4 contributors; last commit 0d ago; license MIT.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

4/5

Security

4/5

Overall score3.40 / 5.00 UsableEvaluatedAug 2026

catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 128 GitHub stars; 4 contributors; last commit 0d ago; license MIT.

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