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.

Pro test fixture provider for Python

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

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

Create knockout fixtures using django

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

Django App para el Catálogo SCIAN INEGI (2023)

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

Pytest fixture using SqlAlchemy for PostgreSQL and OpenTelemetry

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

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

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

A Service & Secret Discovery plugin for PyTest

DVC Studio fixture to test nested monorepo scenario

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