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bsevern edited this page Apr 3, 2026 · 3 revisions

GoldenCheck

Data validation that discovers rules from your data so you don't have to write them.

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Page Description
Installation Install GoldenCheck and optional extras
Quick Start Get started in 60 seconds
CLI Reference 11 commands, flags, and exit codes
Interactive TUI 4-tab interactive terminal interface
Profilers 10 column + 4 cross-column profilers
Baseline Deep analysis, drift detection, YAML profiles
Configuration goldencheck.yml reference
Domain Packs Healthcare, finance, e-commerce type definitions
Schema Diff Compare data versions, detect drift
Auto Fix Automated data cleaning (safe/moderate/aggressive)
Watch Mode Continuous directory monitoring
LLM Boost LLM-enhanced validation (~$0.01/scan)
MCP Server Claude Desktop integration (9 tools)
Jupyter & Colab Rich HTML display in notebooks
GitHub Action CI integration with PR comments
REST API HTTP microservice (POST /scan, /scan/url)
Database Scanning Scan Postgres, Snowflake, BigQuery directly
Scheduled Runs Cron-like scheduling with webhooks
Benchmarks DQBench Score: 88.40, speed tests
Architecture Module layout and data flow

What Makes GoldenCheck Different

Every other data validation tool makes you write rules first. GoldenCheck flips it:

  1. Scan — GoldenCheck profiles your data and discovers issues automatically
  2. Review — Interactive TUI shows findings sorted by severity with confidence scores
  3. Pin — Keep the rules you care about, dismiss the rest
  4. Export — Save to goldencheck.yml and validate in CI

Zero config to start. No schemas. No decorators. No YAML. Just point it at a file.

DQBench Score: 87.71

Tool Mode Score
GoldenCheck zero-config 87.71
Pandera best-effort rules 32.51
Soda Core best-effort rules 22.36
Great Expectations best-effort rules 21.68

GoldenCheck's zero-config discovery outperforms every competitor — even when they have hand-written rules.

Integration Points

  • CLI — 15 commands: scan, validate, review, diff, watch, fix, learn, init, history, serve, scan-db, schedule, mcp-serve, baseline
  • Baseline — goldencheck baseline data.csv creates a YAML profile; goldencheck scan --baseline detects 13 types of drift
  • CI/CD — goldencheck-action@v1 for GitHub, --json + exit codes for any CI
  • MCP — 9 tools for Claude Desktop integration
  • Domain Packs — --domain healthcare|finance|ecommerce
  • Jupyter/Colab — Rich HTML display with ScanResult
  • Python API — from goldencheck import scan_file, Finding

From the maker of GoldenMatch — entity resolution toolkit.

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