dagshub-docs/docs/integration_guide/index.md

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{target=_blank} where you can contact us directly.

Connect a GitHub repository to DagsHub

Use DagsHub in Colab hosted projects

Storage, data and pipeline management

Experiment Tracking using MLflow

ML automations with Jenkins

Annotate files directly from DagsHub

Connect external storage to DagsHub project

Connect a Git server to DagsHub

Webhooks for repository events

Transfer files from Google Drive to DagsHub Storage

Migrate your experiments from WandB to MLflow

Hugging Face Transformers

Train and deply models

Computer Vision & NLP framework with models like YOLO-NAS

Scan, test, debug, and monitor AI models

Monitor ML training in real-time