bandit
Bandit is a tool designed to find common security issues in Python code. (by PyCQA)
python-patterns
A collection of design patterns/idioms in Python (by faif)
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| bandit | python-patterns | |
|---|---|---|
| 21 | 31 | |
| 5,964 | 39,336 | |
| 2.0% | - | |
| 8.2 | 0.0 | |
| 7 days ago | 15 days ago | |
| Python | Python | |
| Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bandit
Posts with mentions or reviews of bandit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-18.
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Enhance Your Project Quality with These Top Python Libraries
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.
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Creating a DevSecOps pipeline with Jenkins — Part 1
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.
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Enhance your python code security using bandit
repos: - repo: https://github.com/PyCQA/bandit rev: 1.7.7 hooks: - id: bandit args: ["-c", "pyproject.toml", "-r", "."] additional_dependencies: ["bandit[toml]"]
- Show HN: Codemodder – A new codemod library for Java and Python
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A Tale of Two Kitchens - Hypermodernizing Your Python Code Base
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.
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The Uncreative Software Engineer's Compendium to Testing
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.
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The 36 tools that SaaS can use to keep their product and data safe from criminal hackers (manual research)
Bandit (for Python, open-source and free)
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Which CI/CD learn first?
Add security checks (Bandit) and dependency checks (safety)
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Why are python coding standards such a mess, what is everything and where do I start?
bandit
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Python toolkits
flake8-bandit which uses bandit for security linting.
python-patterns
Posts with mentions or reviews of python-patterns.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-27.
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Any good resource on design patterns with examples in Python?
GitHub: Collection of design patterns and idioms
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Top GitHub Resources to Level Up Your Python game
🎇 Repository Link: Python Patterns
- How to improve design
- How to design Python scripts for sensitivity analysis of portfolios?
- They still scare me
- Out of curiosity: what is the python project structure you usually go gor?
- For those of you in industry, are there any resources that discuss best practices and whatnot?
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100+ Must Know Github Repositories For Any Programmer
4. Python Patterns
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Python toolkits
Your post has so many good elements that I've saved them for study and prompted feedback about the applications in Natural Language Processing and ML in Finance/BioTech. Most of my work lately has been NLP analysis research so devops and other GOF software concepts in your repo https://github.com/faif/python-patterns has been challenging.
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[Free Resource] Python Design Patterns
GitHub: Collection of design patterns and idioms
What are some alternatives?
When comparing bandit and python-patterns you can also consider the following projects:
Flake8 - flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.
PyPattyrn - A simple library for implementing common design patterns.
pre-commit-hooks - Some out-of-the-box hooks for pre-commit
TheAlgorithms - All Algorithms implemented in Python
safety - Safety checks Python dependencies for known security vulnerabilities and suggests the proper remediations for vulnerabilities detected.
sortedcontainers - Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
flake8-bandit - Automated security testing using bandit and flake8.
algorithms
black - The uncompromising Python code formatter
more-itertools - More routines for operating on iterables, beyond itertools
mypy - Optional static typing for Python
python-ds - No non-sense and no BS repo for how data structure code should be in Python - simple and elegant.
bandit vs Flake8
python-patterns vs PyPattyrn
bandit vs pre-commit-hooks
python-patterns vs TheAlgorithms
bandit vs safety
python-patterns vs sortedcontainers
bandit vs flake8-bandit
python-patterns vs algorithms
bandit vs black
python-patterns vs more-itertools
bandit vs mypy
python-patterns vs python-ds