docker-registry-ui - Enterprise-ready Docker Registry UI with built-in

项目说明

Docker Registry UI - Docs

Modern web interface for managing Docker Registry with scanning, bulk operations, and multi-registry support.

![Docker Hub Pulls]()
![GHCR Pulls]()
![Release]()

![Open in Gitpod]()

![Docker Registry UI]()

🚀 Try It Now (2 Minutes)

☁️ Play with Docker (Browser)

Click the button below to try Docker Registry UI instantly in your browser using Play with Docker:

![Try in PWD]()

Note: This launches a single-registry setup. The UI will be a on port 5000 and the registry on port 5001.

🖥️ Local Quick Start

✨ Features

📦 Quick Start (Production)

Built-in Tri)

> Tip: Mount /root/.cache/trivy to persist the Tri database across container restarts.

Single-Registry Compose Examples

🔧 En

| | Default | Description |
|---|---|---|
| CONFIG_FILE | /app/registries.config.json | Path to registries configuration file |
| DATA_DIR | /app/data | Directory where scan results and scan job state are persisted |
| TRI | /root/.cache/trivy | Directory where the built-in Tri stores its database |
| READ_ONLY | false | Disable delete operations |
| LOG_LEVEL | WARNING | Logging (DEBUG, INFO, WARNING, ERROR) |
| U | 4 | Number of U worker processes |
| SCAN_WORKERS | 2 | Maximum concurrent background scan workers |
| SCAN_RETRIES | 3 | Retry attempts for transient scan failures |
| SCAN_RETRY_DELAY | 2 | Base delay in seconds between scan retries |

Access at - Setup wizard will guide you.

🧭 Run Locally (De)

Docker De

Python De

Note: The Docker de en includes the trivy binary for scanning. For local Python de, install trivy CLI separately.

📖 Documentation

Full docs: .com/docker-registry-ui

📦

Images are published to both Docker Hub and GitHub Container Registry.

> Latest release: v2.1.0 — FastAPI backend, async scanning, and remote Tri.

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De by OiO | GitHub | Docs | MIT License

项目信息

开发语言：JavaScript

Star 数：17

技术要点

该项目属于安全软件方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕Enterprise-ready Docker Registry UI with built-in Trivy scanning, multi-registry management, bulk retention policies, repository analytics, and secure image lifecycle operations.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。