#Uvicorn
Showing 23 of 23 repositories tagged #uvicorn, ranked by stars
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.
Simple, modern and fast file watching and code reload for Python, written in Rust
An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.
一款功能强大的自动化工具，通过拖拽模块的方式快速构建自动化工作流，无需编写任何代码即可实现网页数据采集、表单填写、自动化测试等任务。【QQ交流群：115069513】
Webchat to API
KonomiTV: Kept Organized, Notably Optimized, Modern Interface TV media server
Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python with performance auto-tuning.
Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀
High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (w/ Redis and PostgreSQL).
Integration of FastAPI framework supported by Pydantic with SQLAlchemy ORM and PostgreSQL on asyncpg driver
Ravyn combines performance, type safety, and elegance. A next-generation async Python framework for APIs, microservices, and web applications.
FastAPI Tutorials & Deployment Methods to Cloud and on-prem infrastructures
A decentralized voting system using Ethereum blockchain for secure and transparent elections, with features like user authentication and real-time result tracking.
Simple self-hosted web application, which can be used to convert audio to subtitles by OpenAI's Whisper model
🚢 Docker images and utilities to power your Python APIs and help you ship faster. With support for Uvicorn, Gunicorn, Starlette, and FastAPI.
Multi-tenant SaaS boilerplate built on FastAPI & Authx :sparkles:
An *experimental* zero-preparation remote debugger for Python applications running in *local* Kubernetes clusters or Docker containers.
FastAPI & Kubernetes Tutorial with PyCharm
基于Fastapi开发，集成Celery-redis分布式任务队列、JWT 用户系统、ElasticSearch和encode orm的基础项目模板，大家可以根据自己的需求在本模板上进行修改
A template for a FastAPI based Serverless Framework microservice running on AWS Lambda
AWS API Gateway, Lambda and FastAPI + Mangum
A machine learning project to predict smoking status (Smoker/Non-Smoker) using health and lifestyle data. It includes data preprocessing, model training, evaluation, visualizations, and FastAPI-based deployment, supporting CI/CD and multiple datasets for robustness.