LibCST VS bandit

LibCST: Seems to only show in terminal.

While you can do this using ANTLR or any other lexing/parsing tool, it's honestly a bit of a pain. Whitespace and comments can go almost anywhere, even in the middle of expressions, so the grammar ends up becoming fairly messy. So, I'd recommend using a library that handles this for you, if at all possible. For example, if I wanted to code-mod Python I'd prob just use the LibCST library.

I recommend https://github.com/Instagram/LibCST (which is currently implementing rust bindings)

I've been roughly copying some of the logic from the LibCST project. This struct in particular- https://github.com/Instagram/LibCST/blob/main/native/libcst/src/tokenizer/text_position/char_width.rs does a good job of normalizing the line endings of a str. The long way around you could mimic this construct, transform the str to normalized line endings, and then split on "\n" or make a somewhat more complicated transformer which turns a large str into a Vec (or Vec).

I myself am working on upgrading LibCST's parser engine to support the new syntax, and then am hoping we can rewrite Black's formatting rules in terms of LibCST's API. That's not a small amount of work, which is why we can't confidently say that's going to be the way forward.

Never used it but it appears that Facebook/Instagram have a format preserving CST library for Python: https://github.com/Instagram/LibCST

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.