Manage ML projects the right way

Focus on what’s important while we do the MLOps heavy lifting for you. With DagsHub you can host your code, data, experiments and models, manage projects and collaborate with your teammates – all in one place.

A complete platform tailored to your ML ecosystem

Organize your entire project under one roof. Code, data, models, pipelines, experiments, annotations. The things every machine learning professional needs.

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A single source of truth

A one stop shop for your ML project’s life cycle, combining best of breed
open source infrastructure.

Data & code management

Manage versions of your data and code side by side, understand your data in context, visually track progress over time and find relevant trends.

Data and code versioning
Seamless connection with GitHub
Data and code Diffs
Data annotations
Visualizations

Experiments

Create the best version of your model by managing your experiment process. Analyze, validate assumptions and improve model accuracy with the right visualizations.

Experiments comparison
Metrics and parameters visualizations
Real-time monitoring on experiment progress
Any experiment is easily reproducible

Pipelines

Get a high-level view of the entire project with a version-specific interactive representation of your data pipeline. Use it to make sense of your entire project, review major updates, or onboard new team members

Versioned Pipelines
Pipeline visualizations
Visual project navigation – An intuitive way to understand your project

Automation

Automate time-consuming, iterative tasks in your ML workflow using the tools you love. Scan repositories and execute custom pipelines automatically.

Integrate with tools you already use – Jenkins, GitHub Actions and Webhooks
CI/CD and Git Flow in Machine Learning
Continuous Training

Collaboration

Track collaboration on your data science projects. Work more effectively together by sharing the weight of your work with your team, and learn from each other while building better models.

Data Science Pull requests and reviews
Discuss and comment on any file or project component
Open and manage issues

Zero DevOps!

Avoid the MLOps “tedious work” by using DagsHub’s capabilities without relying on your DevOps.

We do the heavy lifting for you

We will host the servers for data versioning, labeling, and experiment tracking and set up a central repository, so you can just work on ML

No need to be familiar with different tools

You will use a bunch of great tools, but work with only one interface, much more convenient

Get started working faster

Since we’re doing all the setup,
your step 1 is machine learning work!

Don’t just take our word for it..

Transform your ML development with DagsHub – try it now

Fresh, from our blog

Google Colab

DagsHub Integrates with Colab: Build And Train ML Models With ZERO MLOps

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Storage

Connect S3-Compatible Storage To DagsHub: Manage Data And Code In The Same Place

Kang-Chi Ho

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MLOps

How to Setup Kubeflow on AWS Using Terraform

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DVC

Getting Started With DVC

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