uv-docker-integration

What problem does it solve?

Containerizing Python applications with uv in Docker often requires careful handling of builds, caching, and security to achieve small, reproducible production images. This guide provides best practices and patterns to streamline that process.

Core Features & Use Cases

• Multi-stage Dockerfile patterns to minimize image size and simplify deployments.
• Caching, bytecode optimization, and deterministic installs to ensure reliable builds.
• Security best practices including non-root execution, minimal dependencies, and reproducible images.
• Managing dependencies with uv's pip interface for clean, reproducible environments.
• Use case: containerizing a Python API service with fast startup and a small attack surface.

Quick Start

Create a Dockerfile based on the recommended uv-enabled base, install dependencies with uv, and run your application in a production-ready container.