jazzband/django-axes

Description and use

**Project Summary:**

django-axes is an open-source project that helps track failed login attempts on Django-powered websites. It adds AI capability without requiring a blank model stack, making it suitable for prototyping AI features and building workflows such as Risk and Anomaly Governance (RAG) or agent workflows. With a strong ecosystem and recent activity, django-axes is ready for a serious pilot in production.

**Value:**

The value proposition of django-axes lies in its ability to seamlessly integrate AI capabilities into existing Django-powered sites without requiring a new model stack. This allows developers to quickly prototype AI features and build workflows without significant upfront investment.

**Practical Adoption Path:**

To adopt django-axes, developers should follow these steps:

1. Review the documentation and code to ensure it meets their project's requirements.
2. Manually inspect the integration signals to understand how django-axes works with their specific Django setup.
3. Integrate django-axes into their project, following the provided instructions.
4. Monitor and test the system to ensure it works as expected.

**Production Readiness:**

django-axes has a high production readiness score, indicating that it is suitable for serious pilot adoption.

Before adopting

Review the current source documentation, licensing terms, dependencies, and maintenance status against your intended use. [View the source](https://github.com/jazzband/django-axes).

Use in a workflow

jazzband/django-axes helps add AI capability without starting from a blank model stack.

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.