Zappa
pypiserver
Our great sponsors
Zappa | pypiserver | |
---|---|---|
36 | 3 | |
3,051 | 1,691 | |
2.8% | 1.3% | |
7.5 | 6.3 | |
5 days ago | 10 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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.
Zappa
-
Jets: The Ruby Serverless Framework
If people aren't familiar, there's a similar project for Python that's fantastic: https://github.com/zappa/Zappa
-
Building serverless websites (lambdas written with python) - do I use FastAPI or plain old python?
Chalice was a consequence, a reaction from AWS to the release of (Zappa Framework)[https://github.com/zappa/Zappa] that provide a very good alternative to migrate very quickly a Django/Flask or any WSGI compliant solution in Python.
-
Best way to host Django DRF on AWS? (so many competing options)
Use Zappa https://github.com/zappa/Zappa and host as a Lambda, simple setup and deployment, Lambda only costs when processing requests, no servers to mess around with
-
How to deploy a project from git lab backend where I used django on backend and database
One of my favorite options that is probably the most cost-effective is to deploy using a 'severless' model on AWS Lambda using zappa which supports deploying Python webapps to AWS in this way. Zappa also makes it super easy to deploy in just a couple commands! The README includes instructions for everything you might need, including handling sensitive information like your database passwords, running django management commands, setting up DNS, etc.
-
I’m a Brazilian salesforce developer and want to work with django stack. Any tips?
Deployment works nicely with Docker. I often use AWS AppRunner because it's really easy and just scales. Some people use AWS Lambda with Zappa but I don't recommend it unless you really want to spend less than $15 a month. You will probably need Django Storages to save uploads to an S3 bucket. At some stage you might want to put a CloudFront distribution in front of everything but the configuration of the caching behaviour might be a bit confusing when you do it the first time.
- lambda API deployment
-
Why or why not use AWS Lambda instead of a web framework for your REST APIs? (Business projects)
It doesn't have to be an either-or! I have several apps in production that were developed on Django or Flask, and deployed to Lambda using Zappa.
-
Backend Server with Django Rest API
If you need a relational DB, you can use AWS Aurora or RDS and use cloud functions ('lambda' in AWS) that you can invoke with HTTP to process the document first. Zappa will do a lot of the configuration for you if you go that route.
-
Easiest/Best way to deploy django to AWS?
Lambda + API gateway, this library bundles a Django application into a lambda https://github.com/zappa/Zappa . 1 million free invokes from aws, scale to zero, plugs into your RDS
-
We clone a running VM in 2 seconds
I use Zappa, it just schedules a frequent execution of the lambda: https://github.com/zappa/Zappa#keeping-the-server-warm
pypiserver
-
How to best include personal modules in other projects?
In our company we setup an internal pypi server https://github.com/pypiserver/pypiserver
-
Python Best Practices for a New Project in 2021
> One should probably run their own package server like https://github.com/pypiserver/pypiserver
Never used pypiserver but I’ve had a good experience with https://github.com/devpi/devpi
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
devpi - Python PyPi staging server and packaging, testing, release tool
mangum - AWS Lambda support for ASGI applications
mamba - The Fast Cross-Platform Package Manager
chalice - Python Serverless Microframework for AWS
pip-tools - A set of tools to keep your pinned Python dependencies fresh.
Poetry - Python packaging and dependency management made easy
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
aws-sqs-jobs-processer - Serverless jobs processor on AWS
flynt - A tool to automatically convert old string literal formatting to f-strings
sample-django-docker - A sample of using Django with Docker and docker-compose
miniforge - A conda-forge distribution.