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zinggAI
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zinggAI/zingg

Scalable master data management, identity resolution, entity resolution, and deduplication using ML

Java ◇ cdp AGPL-3.0
★1.3KSTARS
⑂178FORKS
!114ISSUES
🏆#5,629GLOBAL RANK
🔥1DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

zingg is zingg is an open-source project written in Java: Scalable master data management, identity resolution, entity resolution, and deduplication using ML..

Repository zinggAI/zingg ↗
Primary Category cdp
Language & Stack Java
Software License AGPL-3.0
Community Traction ★ 1.3K stars · ⑂ 178 forks · #5,629 globally
Maintenance ● Active (Last commit: Oct 19, 2026) · 114 open issues
Target Audience Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

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Momentum

+31

STARS · LAST 30 DAYS

1

PER DAY

#427

MOST-STARRED Java

Window7 days30 days90 days
Stars gained+7+31+90
Per day111
Forks gained+1+4+10

zingg gained 31 stars in the last 30 days, about 1 a day, and now has 1.3K. It is about 5 years old and has averaged roughly 251 stars a year. It ranks #427 among Java repositories and #5,629 across all languages on GitHubRepo.

Trending Record

zingg has maintained a continuous presence across global trending indexes, peaking at #7534. Below is the 30-day activity profile:

💡 Overview

zingg is an open-source project written in Java: Scalable master data management, identity resolution, entity resolution, and deduplication using ML.

Engineered for speed, consistency, and developer ease, it solves common hurdles in cdp, customer-data-platform, data-science. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Java for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/zinggAI/zingg.git
cd zingg

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

JDK 17 or higher (OpenJDK / GraalVM)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

zingg coordinates its core functionality through a modular Java 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

Production System Integration

Embed zingg into Java backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open AGPL-3.0 license.

🚀 Getting Started

1

Install zingg using your package manager: `git clone https://github.com/zinggAI/zingg.git`

2

Initialize your project workspace or configuration file for zingg.

3

Import zingg into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `zingg --help` to verify successful setup.

👍 Strengths

Active community backing with 1,256 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 license.
Built in Java for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Java and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Java, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

zinggAI/zingg is currently ranked #5,629 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,623 ChesterRa/cccc Rust ★ 1.3K Compare ↗
#5,623 l0ng-ai/tty7 Rust ★ 1.3K Compare ↗
#5,626 HearthSim/HSTracker Swift ★ 1.3K Compare ↗
#5,626 unstablebuild/rune Go ★ 1.3K Compare ↗
#5,628 meta-pytorch/attention-gym Python ★ 1.3K Compare ↗
#5,629 zinggAI/zingg This Project Java ★ 1.3K
#5,629 faveosuite/faveo-helpdesk PHP ★ 1.3K Compare ↗
#5,629 piratuks/invoice-builder TypeScript ★ 1.3K Compare ↗
#5,629 gooseworks-ai/goose-skills JavaScript ★ 1.3K Compare ↗
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Frequently Asked Questions

What does zingg do? +

Scalable master data management, identity resolution, entity resolution, and deduplication using ML

What language is zingg written in? +

The primary language is Java. Topics include: cdp, customer-data-platform, data-science, databricks, dataengineering.

Is zingg actively maintained? +

Yes, the last recorded push was on Oct 19, 2026 with 114 open issues being tracked.

How many stars does zingg have? +

zingg has 1,256 stars and 178 forks on GitHub.

How does zingg rank among GitHub repositories? +

With 1,256 stars, zinggAI/zingg is ranked #5,629 globally across all repositories tracked on GitHubRepo and #427 among Java projects.

What license is zingg distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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