AlphaGenome is a Python SDK for interacting with the AlphaGenome deep learning genomics model, which predicts molecular properties of DNA sequences (e.g., gene expression, chromatin accessibility, splicing, contact maps) from raw DNA input. The package provides gRPC clients for remote model inference and precomputed variant scores (Atlas), along with rich data structures for genomic intervals, variants, tracks, junctions, and transcripts. It includes a comprehensive visualization library for model outputs (tracks, sashimi plots, contact maps, sequence logos) and utilities for in-silico mutagenesis (ISM) and variant effect scoring. The repository is hybrid: it is primarily a well-engineered client library (application) with versioned API, CI/CD, and PyPI distribution, but it also contains research-oriented components such as Colab notebooks, GTF processing scripts, and ontology handling that serve the genomics research community.