Top Related Projects
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The little ASGI framework that shines. 🌟
Ready-to-use and customizable users management for FastAPI
Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI
A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin
Quick Overview
Awesome-FastAPI is a curated list of resources, tools, and projects related to FastAPI, a modern, fast (high-performance) Python web framework for building APIs. This repository serves as a comprehensive collection of FastAPI-related content, including tutorials, articles, extensions, and best practices.
Pros
- Extensive collection of FastAPI resources in one place
- Regularly updated with new content and contributions
- Well-organized structure for easy navigation
- Includes both beginner-friendly and advanced resources
Cons
- May be overwhelming for absolute beginners due to the large amount of information
- Some listed resources might become outdated over time
- Not all listed projects or resources are thoroughly vetted
- Lacks detailed explanations or comparisons between different resources
Getting Started
To explore the Awesome-FastAPI repository:
- Visit the GitHub repository: mjhea0/awesome-fastapi
- Browse through the different sections to find resources that interest you
- Click on the links to access tutorials, articles, or projects
- Consider starring the repository to stay updated with new additions
- If you have a valuable resource to add, follow the contribution guidelines to submit a pull request
Competitor Comparisons
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Pros of FastAPI
- Official repository with comprehensive documentation and examples
- Actively maintained by the core development team
- Contains the actual FastAPI source code and implementation details
Cons of FastAPI
- May be overwhelming for beginners due to its extensive codebase
- Focuses primarily on the framework itself, rather than curated resources
Code Comparison
FastAPI (main repository):
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def root():
return {"message": "Hello World"}
Awesome FastAPI (curated list):
## Official Resources
- [FastAPI](https://github.com/tiangolo/fastapi) - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Summary
FastAPI is the official repository for the FastAPI framework, containing the source code, documentation, and examples. It's actively maintained and provides comprehensive information about the framework's implementation and usage.
Awesome FastAPI is a curated list of FastAPI resources, tools, and projects. It serves as a community-driven collection of helpful links and information for FastAPI developers.
While FastAPI offers the complete framework and documentation, Awesome FastAPI provides a curated selection of resources that can be particularly useful for discovering third-party tools, tutorials, and best practices related to FastAPI development.
The little ASGI framework that shines. 🌟
Pros of Starlette
- Full-featured ASGI framework with built-in routing, middleware, and WebSocket support
- Lightweight and high-performance, suitable for building scalable web applications
- Serves as the foundation for FastAPI, providing core functionality
Cons of Starlette
- Steeper learning curve compared to Awesome FastAPI's curated resource list
- Less focus on API-specific features and documentation
- Requires more setup and configuration for API development
Code Comparison
Starlette:
from starlette.applications import Starlette
from starlette.responses import JSONResponse
from starlette.routing import Route
async def homepage(request):
return JSONResponse({"message": "Hello, World!"})
app = Starlette(routes=[Route("/", homepage)])
Awesome FastAPI (using FastAPI):
from fastapi import FastAPI
app = FastAPI()
@app.get("/")
async def root():
return {"message": "Hello World"}
Summary
Starlette is a powerful ASGI framework that provides a solid foundation for web applications, including FastAPI. It offers more flexibility and lower-level control but requires more setup for API development. Awesome FastAPI, on the other hand, is a curated list of resources for FastAPI, which is built on top of Starlette and provides a more opinionated, API-focused framework with additional features and easier setup for API development.
Ready-to-use and customizable users management for FastAPI
Pros of fastapi-users
- Focused specifically on user management functionality for FastAPI
- Provides ready-to-use authentication and user management features
- Includes built-in support for various database backends
Cons of fastapi-users
- More limited in scope compared to the broader awesome-fastapi list
- May require additional customization for specific use cases
- Less flexibility in choosing alternative user management solutions
Code Comparison
fastapi-users example:
from fastapi_users import FastAPIUsers
from fastapi_users.authentication import JWTAuthentication
fastapi_users = FastAPIUsers(
user_db,
[JWTAuthentication(secret="SECRET", lifetime_seconds=3600)],
)
app.include_router(fastapi_users.get_auth_router(JWTAuthentication()), prefix="/auth/jwt")
awesome-fastapi doesn't provide specific code examples, as it's a curated list of FastAPI resources.
Summary
fastapi-users is a specialized library for user management in FastAPI applications, offering out-of-the-box functionality for authentication and user-related features. On the other hand, awesome-fastapi is a comprehensive collection of FastAPI resources, tools, and projects, providing a broader overview of the FastAPI ecosystem. While fastapi-users excels in its specific domain, awesome-fastapi offers a wider range of options and resources for FastAPI development in general.
Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI
Pros of fastapi-realworld-example-app
- Provides a complete, production-ready example application
- Implements a full-featured REST API with authentication and database integration
- Demonstrates best practices for structuring a large FastAPI project
Cons of fastapi-realworld-example-app
- More complex and potentially overwhelming for beginners
- Focuses on a specific application structure, which may not fit all use cases
- Less frequently updated compared to awesome-fastapi
Code Comparison
fastapi-realworld-example-app:
from fastapi import APIRouter, Depends, HTTPException
from starlette.status import HTTP_201_CREATED, HTTP_400_BAD_REQUEST
from app.api.dependencies.authentication import get_current_user_authorizer
from app.api.dependencies.database import get_repository
from app.db.repositories.articles import ArticlesRepository
from app.models.domain.articles import Article
from app.models.schemas.articles import (
ArticleInCreate,
ArticleInResponse,
ArticleInUpdate,
)
router = APIRouter()
awesome-fastapi:
# This repository doesn't contain code examples directly.
# It's a curated list of FastAPI resources, tutorials, and projects.
The fastapi-realworld-example-app provides concrete code examples for implementing a FastAPI application, while awesome-fastapi serves as a comprehensive resource collection without direct code samples.
A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin
Pros of fastapi-admin
- Provides a complete admin interface solution for FastAPI applications
- Offers built-in user authentication and permission management
- Includes customizable UI components and themes
Cons of fastapi-admin
- More opinionated and less flexible than a curated list of resources
- Requires learning a specific admin framework, which may not suit all projects
- Limited to admin functionality, unlike the broader scope of awesome-fastapi
Code Comparison
awesome-fastapi doesn't contain code samples, as it's a curated list. However, fastapi-admin provides code for setting up an admin interface:
# fastapi-admin example
from fastapi_admin.app import app as admin_app
from fastapi_admin.providers.login import UsernamePasswordProvider
admin_app.add_auth_provider(UsernamePasswordProvider(
login_logo_url="https://preview.tabler.io/static/logo.svg"
))
Summary
awesome-fastapi is a comprehensive resource list for FastAPI developers, offering a wide range of tools, libraries, and examples. It's ideal for developers seeking diverse resources and flexibility in their FastAPI projects.
fastapi-admin, on the other hand, is a specific admin interface solution for FastAPI applications. It provides a ready-to-use admin panel with authentication and UI components, making it suitable for projects requiring quick admin functionality implementation.
The choice between these repositories depends on the project's needs: general FastAPI resources (awesome-fastapi) or a dedicated admin solution (fastapi-admin).
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Awesome FastAPI | 
A curated list of awesome things related to FastAPI.
FastAPI is a modern, high-performance, batteries-included Python web framework that's perfect for building RESTful APIs.
Contents
Third-Party Extensions
Admin
- FastAPI Admin - Functional admin panel that provides a user interface for performing CRUD operations on your data. Currently only works with the Tortoise ORM.
- FastAPI Amis Admin - A high-performance, efficient and easily extensible FastAPI admin framework.
- Piccolo Admin - A powerful and modern admin GUI, using the Piccolo ORM.
- SQLAlchemy Admin - Admin Panel for FastAPI/Starlette that works with SQLAlchemy models.
- Starlette Admin - Admin framework for FastAPI/Starlette, supporting SQLAlchemy, SQLModel, MongoDB, and ODMantic.
Auth
- AuthX - Customizable Authentications and Oauth2 management for FastAPI.
- FastAPI Auth - Pluggable auth that supports the OAuth2 Password Flow with JWT access and refresh tokens.
- FastAPI Azure Auth - Azure AD authentication for your APIs with single and multi tenant support.
- FastAPI Cloud Auth - Simple integration between FastAPI and cloud authentication services (AWS Cognito, Auth0, Firebase Authentication).
- FastAPI Login - Account management and authentication (based on Flask-Login).
- FastAPI JWT Auth - JWT auth (based on Flask-JWT-Extended).
- FastAPI Permissions - Row-level permissions.
- FastAPI Security - Implements authentication and authorization as dependencies in FastAPI.
- FastAPI Simple Security - Out-of-the-box API key security manageable through path operations.
- FastAPI Users - Account management, authentication, authorization.
Databases
ORMs
- Edgy ORM - Complex databases made simple.
- FastAPI SQLAlchemy - Simple integration between FastAPI and SQLAlchemy.
- Fastapi-SQLA - SQLAlchemy extension for FastAPI with support for pagination, asyncio, and pytest.
- FastAPIwee - A simple way to create REST API based on PeeWee models.
- GINO - A lightweight asynchronous ORM built on top of SQLAlchemy core for Python asyncio.
- ORM - An async ORM.
- ormar - Ormar is an async ORM that uses Pydantic validation and can be used directly in FastAPI requests and responses so you are left with only one set of models to maintain. Alembic migrations included.
- FastAPI Example - Using FastAPI with ormar.
- Piccolo - An async ORM and query builder, supporting Postgres and SQLite, with batteries (migrations, security, etc).
- FastAPI Examples - Using FastAPI with Piccolo.
- Prisma Client Python - An auto-generated, fully type safe ORM powered by Pydantic and tailored specifically for your schema - supports SQLite, PostgreSQL, MySQL, MongoDB, MariaDB and more.
- Tortoise ORM - An easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django.
- FastAPI Example - An example of the Tortoise-ORM FastAPI integration.
- Tutorial: Setting up Tortoise ORM with FastAPI
- Aerich - Tortoise ORM migrations tools.
- Saffier ORM - The only Python ORM you will ever need.
- SQLModel - SQLModel (which is powered by Pydantic and SQLAlchemy) is a library for interacting with SQL databases from Python code, with Python objects.
Query Builders
- asyncpgsa - A wrapper around asyncpg for use with SQLAlchemy Core.
- Databases - Async SQL query builder that works on top of the SQLAlchemy Core expression language.
- PyPika - A SQL query builder that exposes the full richness of the SQL language.
ODMs
- Beanie - Asynchronous Python ODM for MongoDB, based on Motor and Pydantic, which supports data and schema migrations out of the box.
- MongoEngine - A Document-Object Mapper (think ORM, but for document databases) for working with MongoDB from Python.
- Motor - Asynchronous Python driver for MongoDB.
- ODMantic - AsyncIO MongoDB ODM integrated with Pydantic.
- PynamoDB - A pythonic interface to Amazon's DynamoDB.
Other Tools
- Pydantic-SQLAlchemy - Convert SQLAlchemy models to Pydantic models.
- FastAPI-CamelCase - CamelCase JSON support for FastAPI utilizing Pydantic.
- CamelCase Models with FastAPI and Pydantic - Accompanying blog post from the author of the extension.
Developer Tools
- FastAPI Code Generator - Create a FastAPI app from an OpenAPI file, enabling schema-driven development.
- FastAPI Client Generator - Generate a mypy- and IDE-friendly API client from an OpenAPI spec.
- FastAPI Cruddy Framework - A companion library to FastAPI designed to bring the development productivity of Ruby on Rails, Ember.js or Sails.js to the FastAPI ecosystem.
- FastAPI MVC - Developer productivity tool for making high-quality FastAPI production-ready APIs.
- FastAPI Profiler - A FastAPI Middleware of joerick/pyinstrument to check your service performance.
- FastAPI Versioning - API versioning.
- Jupyter Notebook REST API - Run your Jupyter notebooks as RESTful API endpoints.
- Manage FastAPI - CLI tool for generating and managing FastAPI projects.
- msgpack-asgi - Automatic MessagePack content negotiation.
- FastAPI Mail - Lightweight mail system for sending emails and attachments (individual and bulk).
Utils
- Apitally - API analytics, monitoring, and request logging for FastAPI.
- ASGI Correlation ID - Request ID logging middleware.
- FastAPI Cache - A simple lightweight cache system.
- FastAPI Cache - A tool to cache FastAPI response and function results, with support for Redis, Memcached, DynamoDB, and in-memory backends.
- FastAPI Chameleon - Adds integration of the Chameleon template language to FastAPI.
- FastAPI CloudEvents - CloudEvents integration for FastAPI.
- FastAPI Contrib - Opinionated set of utilities: pagination, auth middleware, permissions, custom exception handlers, MongoDB support, and Opentracing middleware.
- FastAPI CRUDRouter - A FastAPI router that automatically creates and documents CRUD routes for your models.
- FastAPI Events - Asynchronous event dispatching/handling library for FastAPI and Starlette.
- FastAPI FeatureFlags - Simple implementation of feature flags for FastAPI.
- FastAPI Jinja - Adds integration of the Jinja template language to FastAPI.
- FastAPI Lazy - Lazy package to start your project using FastAPI.
- FastAPI Limiter - A request rate limiter for FastAPI.
- FastAPI Listing - A library to design/build listing APIs using component-based architecture, inbuilt query paginator, sorter, django-admin like filters & much more.
- FastAPI MQTT - An extension for the MQTT protocol.
- FastAPI Opentracing - Opentracing middleware and database tracing support for FastAPI.
- FastAPI Pagination - Pagination for FastAPI.
- FastAPI Plugins - Redis and Scheduler plugins.
- FastAPI ServiceUtils - Generator for creating API services.
- FastAPI SocketIO - Easy integration for FastAPI and SocketIO.
- FastAPI Utilities - Reusable utilities: class-based views, response inferring router, periodic tasks, timing middleware, SQLAlchemy session, OpenAPI spec simplification.
- FastAPI Websocket Pub/Sub - The classic pub/sub pattern made easily accessible and scalable over the web and across your cloud in realtime.
- FastAPI Websocket RPC - RPC (bidirectional JSON RPC) over Websockets made easy, robust, and production ready.
- OpenTelemetry FastAPI Instrumentation - Library provides automatic and manual instrumentation of FastAPI web frameworks, instrumenting http requests served by applications utilizing the framework.
- Prerender Python Starlette - Starlette middleware for Prerender.
- Prometheus FastAPI Instrumentator - A configurable and modular Prometheus Instrumentator for your FastAPI application.
- SlowApi - Rate limiter (based on Flask-Limiter).
- Starlette Context - Allows you to store and access the request data anywhere in your project, useful for logging.
- Starlette Exporter - One more prometheus integration for FastAPI and Starlette.
- Starlette OpenTracing - Opentracing support for Starlette and FastAPI.
- Starlette Prometheus - Prometheus integration for FastAPI and Starlette.
- Strawberry GraphQL - Python GraphQL library based on dataclasses.
Resources
Official Resources
- Documentation - Comprehensive documentation.
- Tutorial - Official tutorial showing you how to use FastAPI with most of its features, step by step.
- Source Code - Hosted on GitHub.
- Discord - Chat with other FastAPI users.
External Resources
- TestDriven.io FastAPI - Multiple FastAPI-specific articles that focus on developing and testing production-ready RESTful APIs, serving up machine learning models, and more.
Podcasts
- Build The Next Generation Of Python Web Applications With FastAPI - In this episode of Podcast Init, the creator of FastAPI, Sebastián Ramirez, shares his motivations for building FastAPI and how it works under the hood.
- FastAPI on PythonBytes - Nice overview of the project.
Articles
- FastAPI has Ruined Flask Forever for Me
- Why we switched from Flask to FastAPI for production machine learning - In-depth look at why you may want to move from Flask to FastAPI.
Tutorials
- Async SQLAlchemy with FastAPI - Learn how to use SQLAlchemy asynchronously.
- Build and Secure an API in Python with FastAPI - Secure and maintain an API based on FastAPI and SQLAlchemy.
- Deploy a Dockerized FastAPI App to Google Cloud Platform - A short guide to deploying a Dockerized Python app to Google Cloud Platform using Cloud Run and a SQL instance.
- Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker
- Deploying Iris Classifications with FastAPI and Docker - Dockerizing a FastAPI application.
- Developing and Testing an Asynchronous API with FastAPI and Pytest - Develop and test an asynchronous API with FastAPI, Postgres, Pytest, and Docker using Test-Driven Development.
- FastAPI for Flask Users - Learn FastAPI with a side-by-side code comparison to Flask.
- Getting started with GraphQL in Python with FastAPI and Ariadne - Generate a FullStack playground using FastAPI, GraphQL and Ariadne.
- Implementing FastAPI Services â Abstraction and Separation of Concerns - FastAPI application and service structure for a more maintainable codebase.
- Introducing FARM Stack - FastAPI, React, and MongoDB - Getting started with a complete FastAPI web application stack.
- Multitenancy with FastAPI, SQLAlchemy and PostgreSQL - Learn how to make FastAPI applications multi-tenant ready.
- Porting Flask to FastAPI for ML Model Serving - Comparison of Flask vs FastAPI.
- Real-time data streaming using FastAPI and WebSockets - Learn how to stream data from FastAPI directly into a real-time chart.
- Running FastAPI applications in production - Use Gunicorn with systemd for production deployments.
- Serving Machine Learning Models with FastAPI in Python - Use FastAPI to quickly and easily deploy and serve machine learning models in Python as a RESTful API.
- Streaming video with FastAPI - Learn how to serve video streams.
- Using Hypothesis and Schemathesis to Test FastAPI - Apply property-based testing to FastAPI.
Talks
- PyConBY 2020: Serve ML models easily with FastAPI - From the talk by Sebastian Ramirez you will learn how to easily build a production-ready web (JSON) API for your ML models with FastAPI, including best practices by default.
- PyCon UK 2019: FastAPI from the ground up - This talk shows how to build a simple REST API for a database from the ground up using FastAPI.
Videos
- Building a Stock Screener with FastAPI - A you build a web-based stock screener with FastAPI, you'll be introduced to many of FastAPI's features, including Pydantic models, dependency injection, background tasks, and SQLAlchemy integration.
- Building Web APIs Using FastAPI - Use FastAPI to build a web application programming interface (RESTful API).
- FastAPI - A Web Framework for Python - See how to do numeric validations with FastAPI.
- FastAPI vs. Django vs. Flask - Which framework is best for Python in 2020? Which uses async/await the best? Which is the fastest?
- Serving Machine Learning Models As API with FastAPI - Build a machine learning API with FastAPI.
Courses
- Test-Driven Development with FastAPI and Docker - Learn how to build, test, and deploy a text summarization microservice with Python, FastAPI, and Docker.
- Modern APIs with FastAPI and Python - A course designed to get you creating new APIs running in the cloud with FastAPI quickly.
- Full Web Apps with FastAPI Course - You'll learn to build full web apps with FastAPI, equivalent to what you can do with Flask or Django.
- The Definitive Guide to Celery and FastAPI - Learn how to add Celery to a FastAPI application to provide asynchronous task processing.
Best Practices
- FastAPI Best Practices - Collection of best practices in a GitHub repo.
Hosting
PaaS
(Platforms-as-a-Service)
- AWS Elastic Beanstalk
- Deta (example)
- Fly (tutorial, Deploy from a Git repo)
- Google App Engine
- Heroku (Step-by-step tutorial, ML model on Heroku tutorial)
- Microsoft Azure App Service
IaaS
(Infrastructure-as-a-Service)
Serverless
Frameworks:
- Chalice
- Mangum - Adapter for running ASGI applications with AWS Lambda and API Gateway.
- Vercel - (formerly Zeit) (example).
Compute:
Projects
Boilerplate
- Full Stack FastAPI and PostgreSQL - Base Project Generator - Full Stack FastAPI Template , which includes FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS, and more (developed by the creator of FastAPI, Sebastián RamÃrez).
- FastAPI and Tortoise ORM - Powerful but simple template for web APIs w/ FastAPI (as web framework) and Tortoise-ORM (for working via database without headache).
- FastAPI Model Server Skeleton - Skeleton app to serve machine learning models production-ready.
- cookiecutter-spacy-fastapi - Quick deployments of spaCy models with FastAPI.
- cookiecutter-fastapi - Cookiecutter template for FastAPI projects using: Machine Learning, Poetry, Azure Pipelines and pytest.
- openapi-python-client - Generate modern FastAPI Python clients (via FastAPI) from OpenAPI.
- Pywork - Yeoman generator to scaffold a FastAPI app.
- fastapi-gino-arq-uvicorn - Template for a high-performance async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (w/ Redis and PostgreSQL).
- FastAPI and React Template - Full stack cookiecutter boilerplate using FastAPI, TypeScript, Docker, PostgreSQL, and React.
- FastAPI Nano - Simple FastAPI template with factory pattern architecture.
- FastAPI template - Flexible, lightweight FastAPI project generator. It includes support for SQLAlchemy, multiple databases, CI/CD, Docker, and Kubernetes.
- FastAPI on Google Cloud Run - Boilerplate for API building with FastAPI, SQLModel, and Google Cloud Run.
- FastAPI with Firestore - Boilerplate for API building with FastAPI and Google Cloud Firestore.
- fastapi-alembic-sqlmodel-async - This is a project template which uses FastAPI, Alembic, and async SQLModel as ORM.
- fastapi-starter-project - A project template which uses FastAPI, SQLModel, Alembic, Pytest, Docker, GitHub Actions CI.
- Full Stack FastAPI and MongoDB - Base Project Generator - Full stack, modern web application generator, which includes FastAPI, MongoDB, Docker, Celery, React frontend, automatic HTTPS and more.
- Uvicorn Poetry FastAPI Project Template - Cookiecutter project template for starting a FastAPI application. Runs in a Docker container with Uvicorn ASGI server on Kubernetes. Supports AMD64 and ARM64 CPU architectures.
Docker Images
- inboard - Docker images to power your FastAPI apps and help you ship faster.
- uvicorn-gunicorn-fastapi-docker - Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python 3.7 and 3.6 with performance auto-tuning.
- uvicorn-gunicorn-poetry - Docker image with Gunicorn using Uvicorn workers for running Python web applications. Uses Poetry for managing dependencies and setting up a virtual environment. Supports AMD64 and ARM64 CPU architectures.
- uvicorn-poetry - Docker image with Uvicorn ASGI server for running Python web applications on Kubernetes. Uses Poetry for managing dependencies and setting up a virtual environment. Supports AMD64 and ARM64 CPU architectures.
Open Source Projects
- Astrobase - Simple, fast, and secure deployments anywhere.
- Awesome FastAPI Projects - Organized list of projects that use FastAPI.
- Bitcart - Platform for merchants, users and developers which offers easy setup and use.
- Bali - Simplify Cloud Native Microservices development base on FastAPI and gRPC.
- Bunnybook - A tiny social network built with FastAPI, React+RxJs, Neo4j, PostgreSQL, and Redis.
- Coronavirus-tg-api - API for tracking the global coronavirus (COVID-19, SARS-CoV-2) outbreak.
- Dispatch - Manage security incidents.
- FastAPI CRUD Example:
- FastAPI with Observability - Observe FastAPI app with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics.
- DogeAPI - API with high performance to create a simple blog and CRUD with OAuth2PasswordBearer.
- FastAPI Websocket Broadcast - Websocket 'broadcast' demo.
- FastAPI with Celery, RabbitMQ, and Redis - Minimal example utilizing FastAPI and Celery with RabbitMQ for task queue, Redis for Celery backend, and Flower for monitoring the Celery tasks.
- JeffQL - Simple authentication and login API using GraphQL and JWT.
- JSON-RPC Server - JSON-RPC server based on FastAPI.
- Mailer - Dead-simple mailer micro-service for static websites.
- Markdown-Videos - API for generating thumbnails to embed into your markdown content.
- Nemo - Be productive with Nemo.
- OPAL (Open Policy Administration Layer) - Real-time authorization updates on top of Open-Policy; built with FastAPI, Typer, and FastAPI WebSocket pub/sub.
- Polar - A funding and monetization platform for developers, built with FastAPI, SQLAlchemy, Alembic, and Arq.
- RealWorld Example App - mongo
- RealWorld Example App - postgres
- redis-streams-fastapi-chat - A simple Redis Streams backed chat app using Websockets, Asyncio and FastAPI/Starlette.
- Sprites as a service - Generate your personal 8-bit avatars using Cellular Automata.
- Slackers - Slack webhooks API.
- TermPair - View and control terminals from your browser with end-to-end encryption.
- Universities - API service for obtaining information about +9600 universities worldwide.
Sponsors
Please support this open source project by checking out our sponsors:
Top Related Projects
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The little ASGI framework that shines. 🌟
Ready-to-use and customizable users management for FastAPI
Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI
A fast admin dashboard based on FastAPI and TortoiseORM with tabler ui, inspired by Django admin
Convert
designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot