Introduction

Outpost Hub is an advanced artifact registry that simplifies the management of models, datasets, and code within a Git-based repository. It offers robust support for Data Version Control (DVC) to manage large files, ensuring that your machine learning workflows are both organized and reproducible.

In a Outpost repository, your code is stored, and any changes made by developers are tracked through version control. Outpost enhances collaboration and governance through features like code reviews, approvals, status checks, and more.

Table of Contents

• Creating a Repository
• Managing Pull Requests (PRs)
• Data Version Control (DVC) Integration
• Model Versioning
• Organizing ML Workflows
• Permissions and Repository Visibility
• Best Practices
• FAQ