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Integration Guide

Data scientists want to use the best tools to tackle their challenges, and make their work as streamlined and enjoyable as possible.

At DagsHub we believe the best way to do that, is not to reinvent the wheel, but to integrate the best tools for your needs. We want to support the entire data science project lifecycle by integrating with a wide range of open-source tools. Each tool gives a partial set of capabilities, and hosting them under one roof creates a holistic solution for teamwork on data science projects, without losing flexibility and modularity.

Here you will find all the tools that DagsHub is integrated with and links to their usage. We are always happy to hear our users' feedback on the existing tools we're integrated with and additional capabilities they would like to add. We invite you to our Discord channel where you can contact us directly.

  •  GitHub

    Connect a GitHub repository to DagsHub

  •  Google Colab

    Use DagsHub in Colab hosted projects

  •  DVC

    Versioning, data storage, and pipeline management

  •  MLflow

    Experiment Tracking using MLflow

  •  Jenkins

    ML automations with Jenkins

  •  Label Studio

    Annotate files directly from DagsHub with HumanSignal Label Studio

  •  External Storage

    Connect external storage to DagsHub project

  •  Connect a Git Server

    Connect a Git server to DagsHub

  •  Webhooks

    Webhooks for repository events, including for Slack and Discord

  •  Google Drive

    Transfer files from Google Drive to DagsHub Storage

  •  Weights & Biases

    Migrate your experiments from WandB to MLflow

  •  Hugging Face

    Hugging Face Transformers

  •  PyCaret

    Train and deploy models

  •  Giskard

    Scan, test, debug, and monitor AI models

  •  New Relic

    Monitor ML training in real-time