Store data created during your `pytest` tests execution, and retrieve it at the end of the session, e.g. for applicative benchmarking purposes.

A couple of examples showing how pytest and its plugins can be combined to solve real-world needs.

Pytest decorator for parametrizing tests with default iterables.

Pytest plugin to provide path for uniform access to test resources.

Create knockout fixtures using django

Extract location of pads from a kicad layout. Useful for generating a test point report.

Django App para el Catálogo SCIAN INEGI (2023)

Fixture to test GDrive credentials. Metrics and plots are stored in GDrive private storage.

ZK and Kafka fixtures for Pytest. Mirror of https://gitlab.com/karolinepauls/pytest-kafka

Pro test fixture configurator for Python

Access test case information in set up/tear down in fixtures in pytest

Pytest fixture using SqlAlchemy for PostgreSQL and OpenTelemetry

Run a temporary instance of Google Cloud PubSub Emulator for Python Tests

A Studio monorepo test project. Testing a usecase of monorepo without root

DVC Studio fixture to test private remote credentials managements. Also, all metrics and plots also stored on remote.

This project helps you to vacate specific file path or deploy resource file into specific file path when unit testing.

You can convert your data in excel to django fixture file easily, and there are 2 google translate selenium function too

A Service & Secret Discovery plugin for PyTest

DVC Studio fixture to test nested monorepo scenario