Bandit is a tool designed to find common security issues in Python code.
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Updated
May 10, 2024 - Python
Bandit is a tool designed to find common security issues in Python code.
Performing security tests inside your CI
Automated security testing using bandit and flake8.
Frontend to display data from huskyCI analyses
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
Python application to setup and run streaming (contextual) bandit experiments.
Thompson Sampling Tutorial
A pre-commit hook to find common security issues in your Python code
github action to run the bandit security linter
Another A/B test library
Thoth's Security Indicator Aggregator
Thoth's Security Indicator using bandit
pytest plugin to execute bandit across a codebase
A codeclimate engine for bandit.
We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting
GitHub Action to run Bandit
Python boilerplate using Poetry, pre-commit, prettier, pytest, GitHub Actions, mypy, ruff, black, bandit & docformatter.
Add a description, image, and links to the bandit topic page so that developers can more easily learn about it.
To associate your repository with the bandit topic, visit your repo's landing page and select "manage topics."