Model Hubs & Serving

DAGsHub

Open-source platform for data, model and pipeline management.

Status
UnmaintainedNo commits in 1084 days.
Last checked
Checked · Oct 15, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

DAGsHub is a comprehensive open-source platform designed to manage data, models, and pipelines efficiently. It provides tools for version control, experiment tracking, and collaboration, making it ideal for teams working on machine learning projects.

DAGsHub stands out by integrating Git-based version control with machine learning workflows, providing a seamless way to manage and track experiments.

When it fits — and when it doesn’t

A good fit for

  • Teams that need robust version control for their machine learning projects

  • Data science teams working on collaborative projects with complex pipelines

  • Organizations looking to improve reproducibility and traceability in ML experiments

Look elsewhere if

  • Projects requiring real-time data processing or streaming analytics

  • Teams preferring proprietary tools over open-source solutions

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Performance bottlenecks with large datasets

    Version control and experiment tracking can be slow when handling very large files or datasets

What it does well

  • Version control for data and models

  • Experiment tracking with Git integration

  • Collaboration tools for teams

  • Automated pipeline management

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up DAGsHub

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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