Fast-Api-example
fastapi
| Fast-Api-example | fastapi | |
|---|---|---|
| 5 | 469 | |
| 114 | 71,223 | |
| - | - | |
| 8.1 | 9.8 | |
| 25 days ago | about 14 hours 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Fast-Api-example
- Optimizing GitHub Actions Performance: Enhance Workflows with Caching
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Getting Started: Monitoring a FastAPI App with Grafana and Prometheus - A Step-by-Step Guide
Inorder to keep we'll use an existing FastAPI app for this guide. You can clone the repo here. However, if you want to create/use your own FastAPI app, feel free to do so.
- Automate Docker Image Builds and Push to GitHub Registry Using GitHub Actions š
- Automate Docker Image Builds and Push to Docker Hub Using GitHub Actions š³š
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Getting Started with Fast-Api šļø and Dockerš³
git clone (https://github.com/KenMwaura1/Fast-Api-example)
fastapi
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Github Sponsor SebastiĆ”n RamĆrez Python programmer
He is probably most well know for creating FastAPI that I taught to some of my clients and Typer that I've never used.
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Python: A SQLAlchemy Wrapper Component That Works With Both Flask and FastAPI Frameworks
It has been an interesting exercise developing this wrapper component. The fact that it seamlessly integrates with the FastAPI framework is just a bonus for me; I didn't plan for it since I hadn't learned FastAPI at the time. I hope you find this post useful. Thank you for reading, and stay safe as always.
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FastAPI Best Practices: A Condensed Guide with Examples
FastAPI is a modern, high-performance web framework for building APIs with Python, based on standard Python type hints.
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Building an Email Assistant Application with Burr
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email assistant agent. Weāll describe the challenge one faces and then how you can solve for them. For the application frontend we provide a reference implementation but wonāt dive into details for it.
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FastAPI Got Me an OpenAPI Spec Really... Fast
Thatās when I found FastAPI.
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How to Deploy a Fast API Application to a Kubernetes Cluster using Podman and Minikube
FastAPI & Uvicorn
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Analysing FastAPI Middleware Performance
Discussion at FastAPI GitHub: https://github.com/tiangolo/fastapi/issues/2696
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LangChain, Python, and Heroku
An API application framework (such as FastAPI)
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Litestar ā powerful, flexible, and highly performant Python ASGI framework
Itās been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.
This ends up made worse if youāre using sync routes.
If youāre constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isnāt a straightforward way to cancel the execution of a route handler in every Python http framework Iāve seen exhibit this problem, the problem quickly snowballs.
This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759
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AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
What are some alternatives?
docker-compose-actions-workflow - GitHub Actions workflow example using Docker Compose to build and test a multi-container stack
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Fast-Api-exampleimages
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Fast-Api-Grafana-Starter - Simple asynchronous API implemented with Fast-Api framework utilizing Postgres as a Database and SqlAlchemy as ORM . Grafana for monitoring using Prometheus
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
build-push-action - GitHub Action to build and push Docker images with Buildx
django-ninja - šØ Fast, Async-ready, Openapi, type hints based framework for building APIs
Fast-Api-Vue - Simple asynchronous API implemented with Fast-Api framework utilizing Postgres as a Database and SqlAlchemy as ORM . GiHub Actions as CI/CD Pipeline. Vue + Daisy UI for the frontend
Flask - The Python micro framework for building web applications.
hub-feedback - Feedback and bug reports for the Docker Hub
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.