pytest-benchmark
powertools-lambda-python
pytest-benchmark | powertools-lambda-python | |
---|---|---|
2 | 27 | |
1,237 | 2,834 | |
- | 1.7% | |
6.0 | 9.9 | |
about 2 months ago | 1 day ago | |
Python | Python | |
BSD 2-clause "Simplified" License | MIT No Attribution |
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.
pytest-benchmark
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Pinpoint performance regressions with CI-Integrated differential profiling
pytest-benchmark
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Investigating Pydantic v2's Bold Performance Claims
To test this, we will setup some benchmarks using pytest-benchmark, some sample data with a simple schema, and compare results between Python's dataclass, Pydantic v1, and v2.
powertools-lambda-python
- Powertools for AWS Lambda (Python)
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Serverless AWS Account Watcher
The main AWS Lambda code is below. It is coded in Python using the AWS SDK for Python along with the very useful AWS Powertools for Lambda library. The full source along with all the SAM Infrastructure as Code (IaC) files can be found in the Github repo associated with this blog which is here.
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Reflecting on Serverless: Current State, Community Thoughts, and Future Prospects
Open-source libraries like Powertools for AWS Lambda have changed the industry. They recently crossed 100 billion API integrations per week. Powertools is making customers’ lives a lot easier worldwide.
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Scaffolding Serverless Web Application on AWS
https://docs.powertools.aws.dev/lambda/python/latest/ Lambda PowerTools provides many amazing features, such as validation, logging, event handler, enable swagger ui etc. It makes the serverless code work as web application framework that you are more familiar with, for example Flask or FastAPI. The entry of the application is lambda_handler function in app.main.py file.
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AWS Chalice
> It seems aws focus is now at https://github.com/aws-powertools/powertools-lambda-python
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SamGIS - Segment Anything applied to GIS
Setup not always easy (I used Powertools for AWS Lambda (Python) to improve my logger setup)
- SamGIS - Segment Anything adattato al GIS
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Superpower REST API DX with Serverless ⚡ and DevOps Best Practices on AWS (🐍 Python Version)
Also I suggest to have a look at AWS Lambda PowerTools, which simplifies adopting best practices with Lambda
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Turbocharge your Lambda Functions with AWS Lambda Powertools for Python
Read more: https://docs.powertools.aws.dev/lambda/python/latest/
What are some alternatives?
pytest-codspeed - Pytest plugin to create CodSpeed benchmarks
tz - Time zone database and code
pydantic-core - Core validation logic for pydantic written in rust
powertools-lambda-java - Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity.
cloud_benchmarker - Cloud Benchmarker automates performance testing of cloud instances, offering insightful charts and tracking over time.
unlock-mainframe-data-files-on-aws - This solution is designed to help you unlock legacy mainframe data by migrating data files from mainframe systems to AWS. By migrating the data, you can make use of the powerful analytics, machine learning, and other services available in AWS to gain insights and make better decisions based on the data.
benchmark-imports - CLI tool to record how much time it takes to import each dependency in a Python project
powertools-lambda-typescript - Powertools is a developer toolkit to implement Serverless best practices and increase developer velocity.
pyperf - Toolkit to run Python benchmarks
aws-lambda-web-adapter - Run web applications on AWS Lambda
action - Github Actions for running CodSpeed in your CI
python-flask-template - HTTP and Flask-based OpenFaaS templates for Python 3