google-deepmind

    google-deepmind/alphagenome

    This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.

    api
    Python
    Apache-2.0
    2.2K stars
    309 forks
    2.2K GitHub watchers
    Updated Oct 25, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    3 releases in the last 90 days, the latest 17 days ago, with 15 contributors on GitHub.

    Gained 221% more stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides programmatic access to AlphaGenome, a model for predicting regulatory DNA sequence functions at single base-pair resolution.
    • Delivers state-of-the-art multimodal genomic predictions including gene expression, splicing, chromatin features, and contact maps from long DNA sequences.
    • Use for analyzing variant effects on gene regulation in research requiring detailed functional genomic predictions.
    • Use for visualizing diverse genomic functional outputs to interpret regulatory mechanisms using integrated plotting libraries.
    • Use for small to medium-scale genomic analyses needing thousands of predictions without requiring large-scale computational resources.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples and documentation to help you use the AlphaGenome API.

    AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps (see diagram below). The model analyzes DNA sequences of up to 1 million base pairs in length and can deliver predictions at single base-pair resolution for most outputs. AlphaGenome achieves state-of-the-art performance across a range of genomic prediction benchmarks, including numerous diverse variant effect prediction tasks (detailed in Avsec et al.).

    The API is offered free of charge for non-commercial use (subject to the terms of use). Query rates vary based on demand – it is well suited for smaller to medium-scale analyses such as analysing a limited number of genomic regions or variants requiring 1000s of predictions, but is likely not suitable for large scale analyses requiring more than 1 million predictions. Once you obtain your API key, you can easily get started by following our Quick Start Guide, or watching our AlphaGenome 101 tutorial.

    Excerpt from the google-deepmind/alphagenome README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Sep 10: +56Sep 11: +9

    +232 stars over 79 days across 8 snapshot days; best day +56 on Sep 10.

    Forks

    309+40

    Open issues

    9+7

    Compared with peers in API

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