Zappa
coveragepy
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Zappa | coveragepy | |
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14 | 7 | |
11,900 | 2,825 | |
- | - | |
0.0 | 9.6 | |
about 1 year ago | 5 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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
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Serverless Templates for AWS and Python
Another alternative is Zappa which is built-in Python Serverless Framework and it serves only that runtime on AWS.
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How to make Django package smaller for Serverless deployment
Also, Zappa core team is looking for contributors to manage the project. I don't know why someone would leave a project like this. It had nearly 12k stars on original repo here https://github.com/Miserlou/Zappa and has around 1.7k on the new one.
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Securing AWS Lambda Function URLs
I used to work for a startup that quickly grew to become one of the biggest Lambda users in my country (according to AWS). The entire business was serverless, not just Lambda but backend DynamoDB, APIGW, Cloudfront, etc. There was maybe 2 EC2 instances in the whole company.
Having seen what that model of development can do from an operational/security/agility/scalability/efficiency perspective, I think the comments on HN about serverless saying "it's just CGI" or that they could do something similar without vendor lockin are honestly laughably ignorant. If you haven't messed with Zappa (https://github.com/Miserlou/Zappa) or Serverless Framework (https://www.serverless.com/) at least a little you are missing out.
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How do I get a stack trace from Zappa with Python on AWS Lambda
I'm using the Zappa framework https://github.com/Miserlou/Zappa with Python and Flask on AWS Lambda. When it raises an exception it appears in the CloudWatch log but is illegible to me. I do get a normal Flask stack trace returned from a HTTP GET in debug builds however.
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Zappa / Async AWS Lambda Function times out in 30s
I have a Python 3.6 - Flask application deployed onto AWS Lambda using Zappa, in which I have an asynchronous task execution function defined using @Task as discussed here
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Help! Lambda cannot find python module that is present in layer (cytoolz)
The only similar issue I can find in my Google searches is this page, but I don't know if it's the same issue and the discussion there is going over my head.
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How do I reduce request size?
Hi u/appliku I think Zappa has been moved from https://github.com/Miserlou/Zappa repo to its own repo and account https://github.com/zappa/Zappa Also, they released version 0.54.0 (Minor version) on Oct 14.
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Best Hosting platform for hosting multiple FLASK apps?
I like deploying on AWS Fargate or AWS Lambda using zappa for very low-cost deployments. Because Lambda has a (always) free tier usage, you can get away with hosting many sites for next-to-nothing with Zappa.
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Hosting Solutions (free)
Depending on what you need zappa (https://github.com/Miserlou/Zappa) allows you to run Django in aws lambda which is very cheap (read practically free).
- How to use Flask-Migrate and Zappa?
coveragepy
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An Introduction to Testing with Django for Python
Coverage.py is the go-to tool for measuring code coverage of Python programs. Once installed, you can use it with either unittest or pytest.
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The Uncreative Software Engineer's Compendium to Testing
Code Coverage Analysis assess the code portions tested by the current test suites without altering the code.
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Slipcover: Near Zero-Overhead Python Code Coverage
The PLASMA lab @ UMass Amherst (home of the Scalene profiler) has released a new version of Slipcover, a super fast code coverage tool for Python. It is by far the fastest code coverage tool: in our tests, its average slowdown is just 5% (compare to the widely used coverage.py, average slowdown 218%!). The latest release performs both line and branch coverage with virtually no overhead. Use it to dramatically speed up your tests and continuous integration!
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Unit Tests - what’s the point?
Tests ensure the tested behavior is maintained. It's up to the developers to write tests with sufficient coverage. Determining which lines of code on your project are covered by tests is easily quantifiable using tooling. E.g. https://coverage.readthedocs.io/
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How to make Django package smaller for Serverless deployment
Taking the idea further, if you build robust tests for your API, you could use a dynamic code analyzer like coverage or figleaf to identify and delete unused functions.
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Comparison of Python TOML parser libraries
coverage
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New Ways to Be Told That Your Python Code Is Bad
FWIW, ternary expressions aren't properly detected by coverage: https://github.com/nedbat/coveragepy/issues/509
What are some alternatives?
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM [Moved to: https://github.com/aws/aws-sam-cli]
global-chem - A Knowledge Graph of Common Chemical Names to their Molecular Definition
Previous Serverless Version 0.5.x - ⚡ Serverless Framework – Use AWS Lambda and other managed cloud services to build apps that auto-scale, cost nothing when idle, and boast radically low maintenance.
slipcover - Near Zero-Overhead Python Code Coverage
python-lambda - A toolkit for developing and deploying serverless Python code in AWS Lambda.
pytomlpp - A python wrapper for tomlplusplus
apex
flit - Simplified packaging of Python modules
chalice - Python Serverless Microframework for AWS
toml - Python lib for TOML
drover - Drover is a command-line utility for deploying Python packages to Lambda functions.
tomli - A lil' TOML parser