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Feature Updates

August '20

Improved Experiment Tab

We've updated the Experiment Tab with a ton of cool features. You can now filter and search experiments with much more granularity, drag and drop to reorder or hide columns and search for the columns you need in the column selection panel.

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Custom Experiment Names

Many users have told us they'd like to change their experiments' names. We're happy to announce this is now possible, just click the edit (pencil) button in the single experiment view to edit.

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May–July '20

Support for DVC 1.0

DAGsHub now supports DVC 1.0. You can safely upgrade and enjoy all the things you love about DAGsHub. If you need help with the upgrade, we also created an automatic migration script.

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Connect to an Existing Repo

If you always wanted to connect your GitHub repository to DAGsHub so that you can get the best of both worlds, this one's for you! You can now connect existing repos by clicking the + Create button in the navigation and choosing New Connection. DAGsHub supports GitHub, GitLab and Bitbucket.

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April '20

Adding DVC Managed Files to the File Tree

You can now view and download your DVC managed files and folders not only in the pipeline view but also in the file tree. Remote files have a blueish tint to their file tree row.

DVC Files in the File Tree
An example of git and dvc managed files in the file tree

March '20

Tutorial for Experiment Tracking

A new tutorial, walking you through a realistic data science project and showing how to use DAGsHub's experiment tracking and visualization features to organize and share your research.
Learn more...

November '19

Experiment Tracking

Track your experiment parameters and metrics using simple, readable and open formats. Gain insights into your research using smart visualizations. Find the experiment you need, easily.
Learn more....


Part of the experiment view

July '19

Visual Pipeline editing

Sometimes you don't feel like using the command line. Or you made a typo in one of the file names and want to fix it quickly. You can now edit your DVC data pipeline in DAGsHub's visual interface.
Learn more...


Modifying a stage is easy with DAGsHub