The Uncreative Software Engineer's Compendium to Testing

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

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  • pytest-testinfra

    Testinfra test your infrastructures

    Testinfra: is a testing framework for infrastructure used to test system configurations and infrastructure as code.

  • Hey

    HTTP load generator, ApacheBench (ab) replacement (by rakyll)

    Hey: is a fast HTTP load testing tool used to test web applications and APIs. It provides a CLI (command-line interface) and supports concurrent requests.

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  • pytest

    The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

    Pytest: is a third-party testing framework that supports fixtures, parameterized testing, and easy test discovery while having room to add plugins to extend its functionality.

  • faker

    Faker is a Python package that generates fake data for you. (by joke2k)

    Faker: a library that generates fake data that can be useful when you need data to test for various components.

  • dredd

    Language-agnostic HTTP API Testing Tool

    Dredd: used to test APIs based on the API blueprint or OpenAPI specification, to ensure implementation matches the specification.

  • coveragepy

    The code coverage tool for Python

    Code Coverage Analysis assess the code portions tested by the current test suites without altering the code.

  • bandit

    Bandit is a tool designed to find common security issues in Python code.

    Bandit: is a tool designed for Python applications to analyse your code for potential security issues like insecure use of functions, hardcoded password and much more.

  • InfluxDB

    Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

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.

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