dinamopy
Dinamopy is a python helper library for dynamodb. You can define your access patterns in a json file and can use dynamic method names to make operations. (by rasimandiran)
mangum
AWS Lambda support for ASGI applications (by jordaneremieff)
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dinamopy | mangum | |
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1 | 17 | |
2 | 1,594 | |
- | - | |
0.0 | 2.5 | |
about 2 years ago | 4 months ago | |
Python | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
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.
dinamopy
Posts with mentions or reviews of dinamopy.
We have used some of these posts to build our list of alternatives
and similar projects.
mangum
Posts with mentions or reviews of mangum.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-01.
- Why the Serverless Revolution Has Stalled
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Is there any batteries-included framework designed specifically for serverless functions?(preferably Python)
Hey! I was in the same place as you are, and the best solution I found was to use Mangum (https://mangum.io/). I believe it also works with Django. Mangum is an adapter that transforms lambda events into the corresponding structure to be received by your Framework API endpoints. We are currently using it with FastAPI and it's great. We code our backend without thinking about whether it will run on Lambda, and Magum takes care of the rest.
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Is it really advisable to try to run fastapi with predominantly sync routes in a real world application?
In the real world I'm never using static cloud resources. It's all serverless, containers, or horizontal auto-scaling. I let the infrastructure handle asynchronous scaling when needed. For FastAPI specifically I've used Mangum: https://mangum.io/ to provide the asynchronous invocation below the ASGI layer. Then all my FastAPI code can just be synchronous.
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Options to host a ReactJS + FastAPI + SQLlite application?
I discovered https://github.com/jordaneremieff/mangum which basically transforms a fastapi app to be compatible with aws lambda.
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Serverless Rest API : api gateway + lambda with RDS database
Should I create only 1 apigtw resource with 1 lambda and use mangum + fastapi for my rest api ?
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Yet another implementation for Slack Commands
Mangum: For the integration of the Aws Lambda and the Api Gateway with the FastApi
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AWS with a Django app
If you go the lambda route, you can use DRF (or any ASGI app) using https://mangum.io/
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Running Containers on AWS Lambda
Yes, it's possible to wrap any asgi app to run in a lambda. Check out Mangum https://github.com/jordaneremieff/mangum
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Observability Best Practices when running FastAPI in a Lambda
But we do not have a handler function, do we? We have a Mangum object wrapping the FastAPI application. Luckily, the Mangum object acts as a handler function, so we can just add the following in example/src/app/__init__.py:
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Django Rest API with AWS lambda or any other server less
I've used fastapi in a lambda. The package Mangum simplifies the conversion of lambda handler to a more tradition request.