The best way to track experiments,
version data, models & pipelines, using Git.
Best practices. Efficient teamwork.
mrd
Escuelita
Collaboration
Focus on your strengths by collaborating. Share the weight of work between team members to improve your data science.
Manage Chaos
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
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
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
Focus on your strengths by collaborating. Share the weight of work between team members to improve your data science.
Manage Chaos
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
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
Review and discuss your work in issues and data science pull requests. Compare experiments, data, and models to decide what should go into production.
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.
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.
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!
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.
With DAGsHub you can contribute data, experiments and models to any project. Not just code
Learn from others and share your knowledge while collaborating to solve interesting data science problems
Showcase your data science chops on real world problems that involve more than just picking the best model
Strengthen your engineering skills and keep up to date with interesting and exciting tools for data professionals
