Bandit is a tool designed to find common security issues in Python code.
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Updated
Apr 18, 2023 - 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
Thompson Sampling Tutorial
A pre-commit hook to find common security issues in your Python code
Another A/B test library
Frontend to display data from huskyCI analyses
AI-engine that powers Iter8
pytest plugin to execute bandit across a codebase
github action to run the bandit security linter
We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting
Configuration files leveraging pre-commit for Python code linting and formatting.
Examples of gitlab-ci jobs, pytest slack integration, pylint-check jobs, gitlab-artifacts, parametrization-tests, multithread execution for methods, sitemap checking links status. Mirrored from gitlab.
Combine multiple popular python security tools and generate reports or output into different formats
An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR 2022.
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