benseverndev-oss/goldenmatch
Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats hand-tuned Splink. Arrow-native/Rust, 250M rows in 11.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, 97 MCP tools + REST.
Star History
Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#693
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
goldenmatch gained 10 stars in the last 30 days, about 1 a day, and now has 132. It is about 1 year old and has averaged roughly 132 stars a year. It ranks #693 among Python repositories and #6,160 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#2285
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
goldenmatch has maintained a continuous presence across global trending indexes, peaking at #2285. Below is the 30-day activity profile:
💡 Overview
goldenmatch is an open-source project written in Python: Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats hand-tuned Splink. Arrow-native/Rust, 250M rows in 11.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, 97 MCP tools + REST.
Engineered for speed, consistency, and developer ease, it solves common hurdles in data-cleaning, data-engineering, data-matching. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install goldenmatch⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
goldenmatch coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with goldenmatch.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install goldenmatch using your package manager: `pip install goldenmatch`
Initialize your project workspace or configuration file for goldenmatch.
Import goldenmatch into your codebase or invoke it directly from your terminal.
Execute your test suite or run `goldenmatch --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
benseverndev-oss/goldenmatch is currently ranked #6,160 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #6,143 | Frieve-A/effetune | JavaScript | ★ 133 | Compare ↗ |
| #6,143 | ozontech/seq-db | Go | ★ 133 | Compare ↗ |
| #6,143 | ikamensh/kodo | Python | ★ 133 | Compare ↗ |
| #6,143 | huanglvjing/spotpatch | TypeScript | ★ 133 | Compare ↗ |
| #6,143 | merijjeyn/jive | Python | ★ 133 | Compare ↗ |
| #6,160 | benseverndev-oss/goldenmatch This Project | Python | ★ 132 | |
| #6,160 | jerem/psdparse | Python | ★ 132 | Compare ↗ |
| #6,160 | openstack/tooz | Python | ★ 132 | Compare ↗ |
| #6,160 | nosilver4u/ewww-image-optimizer | PHP | ★ 132 | Compare ↗ |
| #6,160 | contentful/ui-extensions-sdk | TypeScript | ★ 132 | Compare ↗ |
| #6,160 | The-Fireplace-Minecraft-Mods/In-Game-Account-Switcher | Java | ★ 132 | Compare ↗ |
Frequently Asked Questions
What does goldenmatch do? +
Zero-config entity resolution feeding a durable identity layer: messy records from any source become stable golden entities, a Customer 360 with provenance, merge/split and audit. Fellegi-Sunter beats hand-tuned Splink. Arrow-native/Rust, 250M rows in 11.2 min. Python + edge TypeScript (WASM), SQL-native in Postgres & DuckDB, 97 MCP tools + REST.
What language is goldenmatch written in? +
The primary language is Python. Topics include: data-cleaning, data-engineering, data-matching, data-quality, deduplication.
Is goldenmatch actively maintained? +
Yes, the last recorded push was on Sep 27, 2026 with 6 open issues being tracked.
How many stars does goldenmatch have? +
goldenmatch has 132 stars and 15 forks on GitHub.
How does goldenmatch rank among GitHub repositories? +
With 132 stars, benseverndev-oss/goldenmatch is ranked #6,160 globally across all repositories tracked on GitHubRepo and #693 among Python projects.
What license is goldenmatch distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
