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Achievement: Pair Extraordinairex3Achievement: Pull Sharkx2Achievement: YOLOAchievement: Starstruck

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benzsevern/README.md

Hi, I'm Ben

Website LinkedIn PyPI

I build open-source data quality and entity resolution tools in Python. Everything I ship lands on PyPI and the MCP Registry so it works out of the box with LLM agents.

Golden Suite

A modular toolkit where each piece works standalone or chains together via GoldenPipe.

  CSV / DB / API
       │
       ▼
┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│ GoldenCheck │───▶│ GoldenFlow  │───▶│ GoldenMatch │
│  Validate   │    │  Transform  │    │   Resolve   │
└─────────────┘    └─────────────┘    └─────────────┘
       └──────────────────┬──────────────────┘
                          ▼
                    GoldenPipe
                   (orchestrator)
Project Highlights Downloads
Resolve GoldenMatch 97.2% F1 on DBLP-ACM · 30 MCP tools · 10 A2A skills Downloads
Validate GoldenCheck Zero-config profiling & drift detection · 19 MCP tools Downloads
Transform GoldenFlow 76 transforms · DQBench Transform: 100/100 · 10 MCP tools Downloads
Orchestrate GoldenPipe Chains Check → Flow → Match · 4 MCP tools Downloads
Extensions & integrations

Other Projects

DQBench — The standard benchmark for data quality tools. 4 categories, 12 tiers, 161 tests. Used to score Golden Suite and compare against Great Expectations, Pandera, Soda Core, and others.

InferMap — Inference-driven schema mapping for Python & TypeScript. 7 scorers, domain dictionaries, cross-language parity (F1 0.84).

DevPilot — Dev server supervisor for AI coders. CLI + MCP server with 10 tools. Lifecycle management, health checks, crash recovery.

Tech

Python Rust TypeScript Polars

Pinned Loading

  1. goldenmatch goldenmatch Public

    Entity resolution and deduplication toolkit — outperforms Splink, dedupe, and RecordLinkage on cross-domain benchmarks. Zero-config. MST cluster auto-splitting. Quality-weighted survivorship. 30 MC…

    Python 30 5

  2. goldencheck goldencheck Public

    Data validation that discovers rules from your data. Python + TypeScript. DQBench Score: 88.40.

    Python 1

  3. goldenflow goldenflow Public

    Data transformation toolkit — standardize, reshape, and normalize messy data. Python & TypeScript. 83 transforms, zero-config mode, MCP server, edge-safe. DQBench 100/100.

    Python 1

  4. infermap infermap Public

    Inference-driven schema mapping engine for Python and TypeScript. 7 built-in scorers, domain dictionaries (healthcare/finance/ecommerce), confidence calibration, cross-language accuracy benchmark (…

    Python

  5. goldenpipe goldenpipe Public

    Golden Suite orchestrator — chains validation (GoldenCheck), transformation (GoldenFlow), and entity resolution (GoldenMatch). 4 MCP tools on Smithery. DQBench Pipeline: 88.07.

    Python

  6. dqbench dqbench Public

    The standard benchmark for data quality tools — detection, transformation, entity resolution, and pipeline orchestration. 4 categories, 12 tiers, 161 tests.

    Python