autopep8 VS bandit

AutoPEP8: This tool automatically formats Python code to conform to the PEP 8 style guide. It uses pycodestyle, a library that encapsulates the functionality of the original pep8 tool.

autopep8

I found three, code-formatting tools when looking at that for IDE's: autopep8; black; yapf. One or more might be able to automatically fix those problems. They might also have an API or command line call for it where you could add it in your pipeline: prompt -> response -> code formatter -> formatted response.

autopep8

Your code isn't PEP-8 compliant. Use black or autopep8 on your code to auto-format your code, or at least use pylint to check for issues, before asking anyone else to read your code.

Is there a tool that automatically styles Julia code according to some style guide similar to autopep8 in Python (https://pypi.org/project/autopep8/) or styler in R (https://www.tidyverse.org/blog/2017/12/styler-1.0.0/)?

I use autopep8 most of the time, but it does not even attempt to split these long conditionals. 😅

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.