Cookiecutter-Fastapi

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cookiecutter-fastapi is a Cookiecutter template for FastAPI projects. It helps developers quickly set up new FastAPI applications with common configurations.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is cookiecutter-fastapi?

cookiecutter-fastapi provides a robust Cookiecutter template specifically designed for FastAPI projects. It streamlines the initial setup process, offering support for Machine Learning integrations, the 'uv' package manager, GitHub Actions for CI/CD, and Pytest for testing. By leveraging Jinja2, the template allows for extensive customization of folder structures, file names, and file content, ensuring developers can tailor the project to their specific needs while maintaining best practices.

Best used for

Quickly scaffolding new FastAPI projects with pre-configured best practices and integrations like ML and CI/CD.

Common actions

create fastapi project

setup ml project

automate ci/cd

standardize project structure

start new python project

github copilotface swapping"AI Agents"low-code/no-codeopen-sourceworkflowsdeepfakecollaborationautomated workflow

Capabilities

Key features

FastAPI project templating
Machine Learning support
uv package manager
Github Actions integration
Pytest ready

Target Audience

Python DevelopersMachine Learning EngineersBackend Developers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

Does this template support different database integrations beyond the default?

Yes, while the template provides a solid foundation, it's designed to be flexible. You can integrate various databases by adding the necessary dependencies and configuration within the generated project, leveraging FastAPI's extensibility.

Can I customize the CI/CD pipeline beyond the default GitHub Actions setup?

Absolutely. The GitHub Actions integration is a starting point. You can modify the provided workflow files or integrate with other CI/CD platforms like GitLab CI, Jenkins, or CircleCI by adapting the scripts to your chosen system.

Is it possible to use a different package manager if I prefer not to use 'uv'?

Yes, the template defaults to 'uv' for its performance benefits, but you can easily switch to 'pip' or 'Poetry' after project generation. You'll need to adjust the `requirements.txt` or `pyproject.toml` and any CI/CD scripts accordingly.

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