This section guides you through the initial setup required to interact with the platform. From a developer or data scientist’s perspective, the CLI serves as the primary bridge between your local code (functions, models) and our platform.
Before you can deploy models or manage functions, you must authenticate your local environment. This section describes how to securely link your CLI to the platform organization.
This section explains how to manage various environments seamlessly using a single CLI, ensuring clear separation between development, staging, and production ecosystems.
This section provides a comprehensive guide on how to develop, build, and manage custom functions within the platform. By leveraging the Fathom CLI, you can transform local code into scalable, platform-hosted logic that integrates seamlessly with your existing data ecosystems.
This section covers the various ways to integrate, deploy, and manage machine learning models within the Fathom platform, ranging from proprietary custom models to pre-trained industry standards.
This section explains how to run and test code directly in Notebooks, making it easy to experiment, visualize, and prototype.
Pre-injected environment variables providing automated authentication and project context for all platform Functions and Notebooks.