Is there a tool to help find bugs or perform static analysis?

Yes, there are several tools available that can help find bugs or perform static analysis in Python code. These tools analyze the source code to detect potential issues, such as syntax errors, code smells, security vulnerabilities, and other common programming errors, without executing the program. Here are some of the notable static analysis tools for Python:

1. Pylint: This tool checks for errors in Python code, enforces a coding standard, and looks for code smells. It also provides suggestions for refactoring and offers information about code complexity[1][2][3][6][7].

2. Mypy: This is a static type checker for Python that helps catch type errors in programs. It requires that the code is annotated using Python 3 function annotation syntax (PEP 484). Mypy combines the benefits of dynamic and static typing to find common bugs[3].

3. Pyflakes: Pyflakes focuses on finding logical errors in Python code. It is fast and does not enforce any particular coding style, making it less intrusive. Pyflakes is particularly good at catching errors in the logic of the code without the overhead of style checks[7].

4. Flake8: This tool is a combination of Pyflakes, pycodestyle (formerly pep8), and McCabe; it checks the style, complexity, and programming errors in Python[3][7].

5. Bandit: Bandit is a tool designed to find common security issues in Python code. It performs static analysis to detect security defects in applications[3].

6. Prospector: A comprehensive tool that runs several underlying tools to provide a holistic view of Python code quality. It is highly customizable and integrates well with other development tools[1...