Getting started with testing DynamoDB code in Python

This page summarizes the projects mentioned and recommended in the original post on dev.to

Our great sponsors
  • WorkOS - The modern API for authentication & user identity.
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • Onboard AI - ChatGPT with full context of any GitHub repo.
  • Moto

    A library that allows you to easily mock out tests based on AWS infrastructure.

    The Python package moto bundles mocks for many AWS services, including DynamoDB. The DynamoDB mock behaves mainly like the service - we can create tables, add data, query data, remove data, and much more. Not all features are supported, though - the documentation lists the available API calls. We can use this in combination with pytest to create a simple test setup.

  • aws-blog.de-projects

    Projects and examples for https://www.tecracer.com/blog

    Next, we'll begin by creating a demo project that we will test. I'm opting for a simple Lambda function that accepts an event, queries some data from DynamoDB, and stores an aggregate in DynamoDB. The general idea is to include a few ways of accessing DynamoDB to see how we can test them. This is what our project structure looks like (you can find all of the code on Github):

  • WorkOS

    The modern API for authentication & user identity. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts