Accelerate ML model development, at scale

The potential of machine learning technologies is creating a cross-industry race to develop and deploy quickly. Give your team the best tools to experiment and deliver better performing models faster to fuel business growth.

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Trusted by 30,000+ ML practitioners and teams

Let your team focus on the science

Enable them to manage ML projects the right way

Best practices for ML efficiency

Git like workflow for the whole project
All ML life cycle components (data, code, experiments, annotations) in one place
Easy Collaboration
Increase ML teams flexibility by reducing their reliance on DevOps

Explainability & Reproducibility of production models

Data & model lineage
Automated data, code and model versioning to guarantee accurate reproducibility
Data visibility for explainability, debugging and ethical AI

Accelerate experimentation cycles

Active learning pipelines out of the box
Query & filter inference data to generate training-ready datasets
Data management for fine-tuning of generative AI models
Auto labeling

Seamless ML Stack integration

Connect to any cloud provider storage
Integrate with orchestration, monitoring and compute tools & resources that you already use
Two way sync with your existing code repositories

Governance & security

On prem/VPC installations
User access controls
Separated project instances

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Don’t just take our word for it..

“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.”

Hwan Goh

| Head of Machine Learning | MACSO

“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.”

Isaac Faber

| Director of AI Development U.S. Army AI Integration Center

“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.”

Guy Rosin

| Applied Scientist | Mana.bio

“My team can’t stop talking about DagsHub. It’s a tool that truly empowers us to autonomously manage our entire data science projects. DagsHub simplifies the process of ingesting and sharing data for production, making life much easier for our data scientists.”