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Bonito
A PyTorch-based open source research basecaller for Oxford Nanopore reads.
What is Bonito?
A PyTorch-based open source research basecaller for Oxford Nanopore reads. Supports writing aligned/unaligned {fastq, sam, bam, cram} outputs and includes interfaces for model training, evaluation, and downloading pretrained models. Users are directed to Dorado for non-research basecalling.
Product typeScientific Models
Pricing ·
DeploymentSelf-hosted
APINot available
What teams use Bonito for
Basecalling of Oxford Nanopore reads (research)
Basecaller model training
Basecalling method development
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
Community reviewsReviews are owned and editable by their authors.
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
