chalice
fastapi
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chalice | fastapi | |
---|---|---|
16 | 465 | |
10,293 | 70,779 | |
0.7% | - | |
6.7 | 9.8 | |
13 days ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | 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.
chalice
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Jets: The Ruby Serverless Framework
That looks similar to Chalice (also for Python)
https://github.com/aws/chalice
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Trace-based Testing AWS Lambda with Tracetest, ECS Fargate, and Terraform
AWS Chalice
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Is there a typical setup for building and deploying python to lambda using terraform?
It’s not terraform but there’s a wonderful aws framework for lambda called Chalice.
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Looking for a good developer workflow with private pip packages
I'm working with AWS Chalice. It's a Python framework that deploys to lambdas, though it has its share of quirks/issues.
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AWS architecture help
Check out Chalice -- it's Flask-y by design but integrates natively with AWS's serverless stack.
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Runtime error when packaging Chalice app to Terraform
I'm using pip 22.1.2 and according to this post, this issue should've already been solved. Anyone that help me with this? Thanks.
- Python Lambda for reading, manipulating, and writing data to/from s3 buckets
- Running Containers on AWS Lambda
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Hosting a Flask Web app on EC2?
There's a framework similar to Flask that makes it easy called Chalice.
- Suggestions on managing API Gateway paths/methods and Lambdas?
fastapi
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FastAPI Got Me an OpenAPI Spec Really... Fast
That’s 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 – powerful, flexible, and highly performant Python ASGI framework
It’s 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 you’re using sync routes.
If you’re 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 isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve 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.
- Ask HN: What is your go-to stack for the web?
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Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
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Building Fast APIs with FastAPI: A Comprehensive Guide
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.
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Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.
What are some alternatives?
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
Zappa - Serverless Python
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Zappa - Serverless Python
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
chocs-openapi - OpenApi middleware for chocs library.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
mangum - AWS Lambda support for ASGI applications
Flask - The Python micro framework for building web applications.
azure-functions-python-library - Azure Functions Python SDK
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.