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pytest

Pyralysis is a Python library for radio interferometry: visibility simulation, gridding, optimization-based image reconstruction, and analysis pipelines with Dask-friendly scaling, documented APIs, and optional cluster (SLURM) workflows. GPL-3.0.

Storage testing framework for Fedora, CentOS Stream, and RHEL.

Local-first job search tracker. Flask + SQLite, 270+ tests including Playwright end-to-end, GitLab CI. Pipeline tracking, RemoteOK and WWR feeds, dashboard.

Python and Playwright test automation framework for UI, API, database, and end-to-end validation, with pytest, parallel execution, GitLab CI/CD, Allure reporting, and multi-application support.

Standardized Ultralytics Python project template with packaging, tests, documentation, CI/CD, code quality, and development tooling.

GitHub: https://github.com/ultralytics/profile

https://ultralytics.com

Ultralytics Python package template with pytest and unittest examples, CLI, CI matrix, coverage, formatting, and automated PyPI releases.

GitHub: https://github.com/ultralytics/template

https://ultralytics.com

GitLab CI/CD component that runs Pytest, a Python automated testing framework, against your codebase.

ProTest an end-to-end product testing framework for the Square Kilometre Arrays' pulsar and fast-transient searching subsystem.

Python QA automation cookbook with reusable recipes for API testing, pytest patterns, CI/CD pipelines, Dockerized execution, Allure reporting, quality gates, and security scanning.

QA-first Solana trading bot: 177 pytest tests at 83 % coverage behind a 60 % gate, and 15 documented bug reports. DRY_RUN by default.

QA automation portfolio using Python, Pytest, and Appium for Android UI testing, with REST API tests, Gherkin scenarios, and GitLab CI quality checks.

The pytest-fusesoc plugin allows to use pytest to discover and run simulation targets defined in FuseSoC *.core files. Furthermore, test capabilities can be greatly increased with existing pytest plugins, pytest built-in features like fixtures, test parametrization @pytest.mark.parametrize, tests reporting and more.

A beginner-friendly Python handbook with chapters, exercises, solutions, examples, mini projects, cheatsheets, and tests.

Tag-based test grouping for pytest

PyPI: pytest-tags

No-fuss auto-profiling of your pytest tests

PyPI: pytest-autoprofile

API REST open source du Codex de Chen, une encyclopédie des jeux principaux Pokémon développée avec FastAPI, PostgreSQL et SQLAlchemy. Architecture en couches, tests automatisés, Docker et pipeline GitLab CI/CD.

API REST de gerenciamento de tarefas com FastAPI + JWT + Docker. App desktop com CustomTkinter. Deploy no Railway.

A production-grade machine learning system for classifying celestial objects — stars, galaxies, and quasars — from 500,000 photometric observations sourced from the Sloan Digital Sky Survey (SDSS DR18). The pipeline covers LOF-based outlier detection, SMOTEENN class balancing, and SelectKBest feature selection, with six classifier configurations benchmarked against each other. Random Forest achieved the highest accuracy at ~99.51%, while LightGBM was selected for deployment due to its faster inference, smaller footprint, and clean ONNX export path. The system is fully containerized with Docker, backed by a CI/CD pipeline, and served live via a Gradio interface on Hugging Face Spaces.