DagsHub is the AI platform for unstructured data (Vision, Audio, Documents) - Helping AI teams collect, curate, and annotate data, track experiments, and manage models collaboratively.

Data Stack
DS/ML PlatformsDS/ML ToolingData GovernanceData Discovery
Status
Paying Customers
Summary

DagsHub is an AI platform designed for managing unstructured data such as vision, audio, and documents. It helps AI teams collect, curate, and annotate data, track experiments, and collaboratively manage models, streamlining the ML project workflow.

Who's using?

DagsHub simplifies the process of building better models and managing unstructured data projects by consolidating data, code, experiments, and models in one place.

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Over 35,000 data scientists and 700 organizations use DagsHub

Bring structure to your unstructured ML projects

Dataset Management

Collect, curate, annotate, visualize, and version your unstructured datasets

Experiment Tracking Track your experiment progress, understand trends, and compare results

Model Registry Manage your models and deployments in one place

Data & Model Lineage Trace your work from the production model, through experiment to the source datasets

DagsHub easily integrates with your MLOps stack

Over 35,000 data scientists and 700 teams build ML with Dagshub

Guy Rosin

Applied Scientist

Since we started using Dagshub, we have been able to significantly reduce the time it takes to run experiments. With streamlined experiment management and version control capabilities, we can quickly iterate and optimize our models, leading to faster results and more efficient workflows. This has been a game-changer for our team at Mana.bio.

Hwan Goh

Head of Machine Learning

DagsHub has been an integral part of our success. We needed an organized framework for our ML workflows and DagsHub’s philosophy and tools made it the perfect fit. We’ve been using DagsHub for a long time and can’t imagine working on ML projects without it.

Isaak Faber

As an ML practitioner and instructor DagsHub is pretty amazing. Designed near perfectly for collaborative data science and just as good for teaching. It has integrations with everything you need: GitHub, MLflow, Label Studio, and DVC. Do yourself a favor and check out DagsHub. It has a small learning curve but once you do one project you’ll have a hard time using anything else.

Brian Sharp

Lead Data Science Engineer

Dagshub has revolutionized Forcura’s ability to manage and extract data that ultimately benefits our clients. Dagshub’s expertise elevates our data operations, providing us the foundation to innovate our core functionality and empower new solutions.

See how customers succeed with Dagshub

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Docs

Example Projects

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Customer stories

Manage your unstructured data. Scale to millions of experiments today.

See how leading data scientists manage their data.