Datasets should behave like git repositories
Manage your Data Science
projects in One Place
The best way to track experiments,
version data, models & pipelines, using Git.
Best practices. Efficient teamwork.
Featured projects:
/
SavtaDepth
Open Source Data Science (OSDS) Monocular Depth Estimation – Turn 2d photos into 3d photos – show your grandma the awesome results.
mrd
/
DIB_COVID19_paper
Repository for the paper submitted to Data in Brief regarding COVID19 Special Edition.
Escuelita
/
DataAnalytic-PJUD
Analisis de Open Data del Poder Judicial
Get started, fast
Watch how to setup DAGsHub in 3 minutes
Or, create your own DAGsHub project from scratch
Start the tutorial
Say hello to Your New Superpowers
Tackle hard challenges with confidence by bringing data science teams together
Collaboration
Build better data science together
Focus on your strengths by collaborating. Share the weight of work between team members to improve your data science.
Manage Chaos
See the things that matter in one place
See code, data, models, pipelines, and experiments in one place, with context. Share models and data easily between all team members, even those that don't code.
Reproducibility
Reproduce results easily & reliably
Debug your models in production or start building from one of our community projects. With
DAGsHub reproducing results is as easy as git checkout .
Decision Making
Make decisions faster, with more clarity
Review and discuss your work in issues and data science pull requests. Compare experiments, data, and models to decide what should go into production.
Collaboration
Build better data science together
Focus on your strengths by collaborating. Share the weight of work between team members to improve your data science.
Manage Chaos
See the things that matter in one place
See code, data, models, pipelines, and experiments in one place, with context. Share models and data easily between all team members, even those that don't code.
Reproducibility
Reproduce results easily & reliably
Debug your models in production or start building from one of our community projects. With
DAGsHub reproducing results is as easy as git checkout .
Decision Making
Make decisions faster, with more clarity
Review and discuss your work in issues and data science pull requests. Compare experiments, data, and models to decide what should go into production.
Take your data science to the next level
It doesn't have to be a pain in the ass
What is DAGsHub exactly?
A web platform for data version control and collaboration for data scientists. It lets you easily connect the pieces of your project in one place.
Seriously, I don’t get it...what is it?
It’s like GitHub for data science and machine learning. A place where you can host and collaborate on your data science projects, using open source protocols to track experiment, version data, code & models.
How does it work?
You can get started easily by forking a project, pushing an existing one, or starting a new one from one of the templates.
DAGsHub automatically scans your commits and extracts useful information such as experiment parameters, links to data files and models and combines them into a single, simple interface.
If you are a data scientist using Git, DAGsHub is for you!
What else does it do?
DAGsHub lets you browse and compare your code, data, models, and experiments in one place, without needing to download anything to your computer.
Visualize data pipelines, changes in data, and document model performance, automatically and beautifully.
Share data and experiments. Discuss results and new ideas in context. Review results and automatically merge data & models with data science pull requests.
Supports tools and frameworks you already use
DAGsHub uses open source protocols, so it's fully portable and extensible
Or any other tool you like...
Join the Open Source Data Science Revolution
DAGsHub is empowering open source in the data science world
Contribute to real Open Source Data Science Projects
With DAGsHub you can contribute data, experiments and models to any project. Not just code
Work with a community of data scientists
Learn from others and share your knowledge while collaborating to solve interesting data science problems
Build your data science or machine learning portfolio
Showcase your data science chops on real world problems that involve more than just picking the best model
Learn to work with awesome MLOps tools
Strengthen your engineering skills and keep up to date with interesting and exciting tools for data professionals
