What is openhound-template?

OpenHound Template is a starting point for building custom data collectors that feed information into BloodHound, a popular security tool used to map relationships and permissions in computer networks. If you're a security professional who wants to pull data from a new source and visualize how different systems and users are connected, this template helps you scaffold that project quickly. BloodHound works by analyzing graphs, essentially maps of how entities like users, groups, and computers relate to each other. OpenHound provides a standardized way to collect data from any source and convert it into the graph format BloodHound understands. This repository is specifically a cookiecutter template, meaning when you run a single command, it generates a new project folder with the right structure, sample code, and documentation to get you started. The typical user is a security engineer or red team operator who already uses BloodHound but needs to pull data from a source that doesn't have an existing collector, maybe a custom internal tool, a lesser-known cloud service, or a proprietary directory. Instead of building a collector from scratch, they use this template to get a working starting point with sample collection and conversion pipelines they can adapt. The project is built on two Python libraries: DLT (Data Load Tool) for handling the data pipeline, and Typer for the command-line interface. It requires Python 3.12 or newer and a tool called uv for managing the environment. The README notes that OpenHound is still under active development and isn't yet available on PyPI, the standard Python package repository, so installation is done directly from GitHub for now.