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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.

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..

“DagsHub has been an integral part of our success. We needed an organized framework for our ML workflows and DagsHub’s philosophy and tools made it the perfect fit. We’ve been using DagsHub for a long time and can’t imagine working on ML projects without it.”

Hwan Goh

| Head of Machine Learning | MACSO

“As an ML practitioner and instructor DagsHub is pretty amazing. Designed near perfectly for collaborative data science and just as good for teaching. It has integrations with everything you need: GitHub, MLflow, Label Studio, and DVC. Do yourself a favor and check out DagsHub. It has a small learning curve but once you do one project you’ll have a hard time using anything else.”

Isaac Faber

| Director of AI Development U.S. Army AI Integration Center

“Since we started using Dagshub, we have been able to significantly reduce the time it takes to run experiments. With streamlined experiment management and version control capabilities, we can quickly iterate and optimize our models, leading to faster results and more efficient workflows. This has been a game-changer for our team at Mana.bio.”

Guy Rosin

| Applied Scientist | Mana.bio

“My team can’t stop talking about DagsHub. It’s a tool that truly empowers us to autonomously manage our entire data science projects. DagsHub simplifies the process of ingesting and sharing data for production, making life much easier for our data scientists.”

Francesco Curia

| Head of Data & AI | CY4GATE

Transform your ML development with DagsHub – try it now

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MLOps

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DVC

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