pydantic-i18n
uvicorn-gunicorn-fastapi-docker
pydantic-i18n | uvicorn-gunicorn-fastapi-docker | |
---|---|---|
1 | 5 | |
78 | 2,528 | |
- | - | |
8.7 | 7.0 | |
3 days ago | 14 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pydantic-i18n
uvicorn-gunicorn-fastapi-docker
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Fastapi or Starlite for new project?
You can use gunicorn to mange uvicorn processes, eg:https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker
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Handling 502 Exceptions
The timeouts suggestion is interesting because I haven't really configured them beyond the default https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker
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Please share or link to a FastApi tutorial with VM or containerized webserver
There is a prepackaged docker image using uvicorn/gunicorn from the same guy who made fastapi. Read me should be enough for you to get going. https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker Also be worth reading offical docs on doing this yourself too. https://fastapi.tiangolo.com/uk/deployment/docker/
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Getting Started With Fast API and Docker
You can easily deploy your FastAPI app via Docker using FastAPI provided docker image
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Docker deployment not reloading, what am I doing wrong?
https://github.com/tiangolo/uvicorn-gunicorn-fastapi-docker#development-live-reload
What are some alternatives?
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
fastapi-redis-cache - A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)
pyi18n - Small and easy to use internationalization library inspired by Ruby i18n
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
l10n - Python library for translating your application
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
Weblate - Web based localization tool with tight version control integration.
github-push-events-telegram-bot - Receive push events from GitHub repository in Telegram bot
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.
meinheld-gunicorn-docker - Docker image with Meinheld managed by Gunicorn for high-performance WSGI (Flask, Django, etc) web applications in Python with performance auto-tuning.
opyrator - 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
docker-celery-flower - Minimum docker/fastapi/celery/flower setup