Manage your models and
deployments in one place
deployments in one place
Manage model versions and deploy easily to production. Create a full model lineage from model to source data.
Easily manage the entire model lifecycle
Manage your ML models seamlessly through every stage of the lifecycle – from development, through staging, to production.
Reproduce any model version and task
A system of record offering easy access to machine learning artifacts and detailed lineage tracking allows you to rebuild any model and reproduce any task in the ML lifecycle.
Discover and share models across teams
Share models and datasets across the organization. ML practitioners from different teams can explore and use published artifacts in their own experiments and CI/CD pipelines.
Over 45,000 data scientists build AI with DagsHub
Since we started using DagsHub, we have been able to significantly reduce the time it takes to run experiments and manage models.
We’ve been using DagsHub for a long time to accelerate our experimentation and enhance our data management, and we can’t imagine working on ML projects without it.
DagsHub is designed perfectly for collaborative data science and allows you to share data and models easily with your team. Once you do one project you’ll have a hard time using anything else.
DagsHub has revolutionized our ability to manage and label data, allowing us to innovate and move quickly.
