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If you would rather not write code, GoldenMatch ships a browser workbench. You (or a teammate) run one command to start it; after that, everything happens point-and-click in your browser. It is the right starting point for analysts, data stewards, and anyone reviewing matches rather than building a pipeline.

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Start it

1

Install the web extra

One-time, and the only command line you need. If someone technical set this up for you, skip to the browser.
2

Open the workbench

This opens http://localhost:5050 in your browser. Point it at a folder of CSVs or an existing project; it picks a free port automatically if 5050 is taken.
3

No data yet? Try the demo

Generates a small sample dataset and runs it, so you can click around before bringing your own file.
Drop a CSV in and run it with zero configuration — GoldenMatch detects the column types, picks the scorers and blocking, and shows you the matches. You only touch the rules if you want to.

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What you can do in the browser

No code required for any of this:
  • See your duplicates. Browse clusters of records GoldenMatch thinks are the same entity, with a field-by-field diff and a plain-English reason for each pair.
  • Tune without YAML. Edit match rules and thresholds with live validation and preview the effect against a sampled slice before committing to a full run.
  • Label pairs. Mark borderline pairs as match / not-a-match. Your decisions are saved to Learning Memory automatically and re-applied on the next run, so the system stops asking you the same question twice.
  • Compare two runs. See what merged, split, or stayed the same between runs (the CCMS view), so you can tell whether a change helped.
  • Sweep a setting. Move the threshold and watch the cluster count update live.
  • Browse corrections. Review and manage every label you have stored.

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When you outgrow it

The workbench writes the same config and corrections the code paths use, so nothing is locked in. When you are ready for automation or scale:

Command line

Run the same matching from a script or a scheduled job.

Quickstart (developers)

The Python / TypeScript / CLI path, install to deduped file in minutes.
The workbench is a single-process localhost app — your data never leaves your machine. More screenshots and a full tour are on the Web UI wiki page.