Quality Python Packages

import-deps

find python module imports

radish-bdd

Behavior Driven Development tooling for Python. The root from red to green.

sdmetrics

Metrics to evaluate quality and efficacy of synthetic datasets.

pytest-monitor

Pytest plugin for analyzing resource usage during test sessions

wily

A Python application for tracking, reporting on timing and complexity in Python code

check-oldies

The developer companion that warns about unattended FIXME and TODO annotations

cohesion

A tool for measuring Python class cohesion.

codeclimate-test-reporter

DEPRECATED Uploads Python test coverage data to Code Climate

piqa

PyTorch Image Quality Assessement package

data-expectations

Are your data meeting your expectations?

flake8-tergeo

flake8-tergeo is a flake8 plugin which adds many new rules to improve your code quality. Out of the box it also brings a curated list of other plugins without additional efforts needed.

dep-check

Dependency checker project

av1an

Cross-platform command-line AV1 / VP9 / HEVC / H264 encoding framework with per scene quality encoding

checkatlas

One liner tool to check the quality of your single-cell atlases.

kb-lint

Markdown knowledge base linter for Obsidian, Foam, Dendron & Quartz: finds broken wiki-links, orphan notes, and missing frontmatter

yala

Yet Another Linter Aggregator

wiseql

The wise data browser — run SQL recipes as small, observable, debuggable steps

lightudq

AI assisted data quality for unstructured data

yolo-scout

A repository to analyse the quality of your YOLO dataset

enwrit

Agent-first CLI to improve AI coding experience - linting, document health, plan reviews and more

dblinter

A static analysis tool for postgresql databases

pytolemaic

Package for ML model analysis

mcp-agenttrust

Challenge-response quality verification for AI agents and MCP servers. 6-axis scoring, adversarial probes, W3C Verifiable Credentials.

process-improvement

A Python package for performing calculations and generating figures that facilitate an understanding of process variation.