Bandit is a tool designed to find common security issues in Python code.
-
Updated
Dec 16, 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.
Python application to setup and run streaming (contextual) bandit experiments.
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
Python boilerplate using uv, pre-commit, prettier, pytest, GitHub Actions, mypy, ruff, bandit & docformatter.
Thompson Sampling Tutorial
A pre-commit hook to find common security issues in your Python code
Another A/B test library
Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)
Frontend to display data from huskyCI analyses
[NeurIPS 2023 Spotlight] In-Context Impersonation Reveals Large Language Models' Strengths and Biases
github action to run the bandit security linter
pytest plugin to execute bandit across a codebase
An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR 2022.
Combine multiple popular python security tools and generate reports or output into different formats
Effortlessly expose and monitor your Revolt activities
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."