isort VS bandit

isort: This library sorts your imports alphabetically, and automatically separates them into sections and by type. It provides a cleaner and more organised way to manage project imports.

isort will sort the imports for you

isort is a Python utility that helps in sorting and organizing import statements in Python code to create readable and consistent code. It automatically formats import statements in accordance with PEP 8.

repos: - repo: https://github.com/ambv/black rev: 23.3.0 hooks: - id: black args: [--config=./pyproject.toml] language_version: python3.11 - repo: https://github.com/pycqa/flake8 rev: 6.0.0 hooks: - id: flake8 args: [--config=./tox.ini] language_version: python3.11 - repo: https://github.com/pycqa/isort rev: 5.12.0 hooks: - id: isort args: ["--profile", "black", "--filter-files"] language_version: python3.11 - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.4.0 hooks: - id: requirements-txt-fixer language_version: python3.11 - id: debug-statements - id: detect-aws-credentials - id: detect-private-key

repos: ... pre-commmit stuff ... black stuff - repo: https://github.com/pycqa/isort rev: 5.12.0 hooks: - id: isort name: isort (python)

isort

isort , A Python utility / library to sort imports.

Install black and isort and just don't worry about it. :-)

Sure. Also, and don't take this the wrong way, but there are some code smells in your project that could be partially mitigated with some basic linting/formatting. I suggest black as a code formatter, flake8 for basic linting, and isort for sorting imports (for example, you have local imports mixed in with standard library and third party imports). You can install these via pip and most editors (like VS Code) can autoformat on save and show you linting problems as you edit. And you can integrate these into your workflow by using pre-commit.

Bandit is a tool designed to find common security issues in Python code. It was developed by the OpenStack Security Project and is a great addition to any serious Python project.

For the SAST stage, I used SonarQube tool. SonarQube is an open-source platform developed by SonarSource for continuous inspection of code quality to perform automatic reviews with static analysis of code to detect bugs and code smells on more than 30 programming languages. I preferred SonarQube instead of other SAST tools because it has a detailed documentation and plugins about integration with Jenkins and SonarQube works with Java projects pretty well. Of course you can similar multi-language-supported tools such as Semgrep or language-specific tools such as Bandit.

repos: - repo: https://github.com/PyCQA/bandit rev: 1.7.7 hooks: - id: bandit args: ["-c", "pyproject.toml", "-r", "."] additional_dependencies: ["bandit[toml]"]

On the other hand, Bandit is a dedicated security scanner designed to target critical security concerns such as SQL injection and cross-site scripting exploits. It meticulously scrutinizes the codebase to identify and alert developers about possible security breaches or vulnerabilities, thus fortifying the code against potential exploitation.

Bandit: is a tool designed for Python applications to analyse your code for potential security issues like insecure use of functions, hardcoded password and much more.

Bandit (for Python, open-source and free)

Add security checks (Bandit) and dependency checks (safety)

bandit

flake8-bandit which uses bandit for security linting.