inboard
Docker images and utilities for Python APIs with support for Uvicorn, Gunicorn, Starlette, and FastAPI.
What is inboard?
inboard is a collection of Docker images and utilities designed to streamline the development and deployment of Python APIs. It provides production-ready Docker containers with built-in support for popular ASGI servers like Uvicorn and Gunicorn, and frameworks like Starlette and FastAPI. The project helps developers ship Python applications faster by handling common deployment complexities.
Python developers building web APIs with FastAPI or Starlette who want to simplify their Docker-based deployment workflow. It's particularly useful for teams looking for production-optimized Docker images without building them from scratch.
Developers choose inboard because it offers well-configured, secure Docker images that follow best practices, reducing the time spent on infrastructure setup. Unlike building custom Docker configurations, inboard provides tested, documented images that work seamlessly with modern Python web frameworks.
Overview
🚢 Docker images and utilities to power your Python APIs and help you ship faster. With support for Uvicorn, Gunicorn, Starlette, and FastAPI.
Use Cases
Best For
- Deploying FastAPI applications with production-ready Docker images
Related Projects
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