Python Code Analysis Made Easy

Many tools and applications can help you with code review and quality control for your Python projects on GitHub. Some of the popular ones are:

MultiQC: A tool aggregating quality control reports from multiple devices across many samples into a single report. It supports various Python tools such as FastQC, Cutadapt, STAR, Salmon, etc. It also has a plugin system that allows you to extend its functionality.
PyCQA: An organization for code quality tools (and plugins) for the Python programming language. It hosts several projects, such as Flake8, PyLint, Black, Bandit, etc., that can help you check your code for errors, style, security, complexity, etc.
Toloka: A crowdsourcing platform that allows you to control the quality of your labeled data with the Python tools you already know. You can use various methods to create tasks, collect annotations, aggregate results, and evaluate quality.

These are just some examples of the applications that can help you with code review and quality control on GitHub. You can also explore other options by searching on GitHub or online.