Oxen.ai

Lightning-fast data version control for machine learning datasets

Editorially reviewedChecked Sep 2026How we review

mlops#data-version-control#mlops#datasets#open-source

Free plan API Self-hosted Teams

Toolglade’s take

Best as fast, Git-like version control built for large machine learning datasets, handling big files and directories better than plain Git or Git LFS. The caveat is it is a younger tool with a smaller ecosystem than established alternatives like DVC.

Should you use Oxen.ai?

Best for: ML engineers versioning data · Teams needing reproducibility · Multimodal dataset projects
Not ideal for: Small hobby datasets · Pure code versioning needs · Teams already deep in another DVC stack
Biggest strength: Much faster than git-lfs
Biggest weakness: Newer than established DVC tools
Pricing: Free plan, paid from Free; Hacker from $30/mo
Top alternative: Labelbox · see all

Facts & pricing last checked September 2026. How we review

About Oxen.ai

Oxen.ai is an open-source, Git-like data version control system optimized for large ML datasets, paired with the Oxen Hub SaaS for team collaboration.

Oxen.ai tackles the problem of versioning large machine learning datasets, which tools like git and git-lfs handle poorly at scale. It provides a Git-like command line interface and Python library so software engineers can adopt it quickly, but the internals are optimized for datasets rather than source code, efficiently handling images, audio, video, text, and tabular formats like Parquet with millions of rows. Performance is a core selling point: Oxen advertises being roughly 40x faster than git-lfs and even faster than a simple S3 copy, and it is designed to manage repositories with millions of files and terabytes of data. On top of the open-source engine sits the Oxen Hub, a SaaS platform for team collaboration, sharing, and hosting of dataset repositories. Oxen.ai targets ML teams that need reproducible, versioned data for training and evaluation, from training sets and model weights to game assets and studio media. Its git-like ergonomics make it a natural fit for engineers who want dataset workflows that mirror their code workflows.

Weighing your options?See how Oxen.ai compares to the alternatives.

TL;DR

Oxen.ai is an open-source, blazing-fast data version control system for large ML datasets, with a Git-like CLI and the Oxen Hub SaaS for team collaboration.

Company overview

Oxen.ai (Oxen AI) builds data version control tooling for machine learning, addressing the shortcomings of git and git-lfs on large datasets. The company offers an open-source engine plus a hosted Oxen Hub collaboration platform.

Oxen has been backed by investors including Ritual Capital and has presented at events like SCALE, positioning itself as the fastest and easiest data version control tool for ML datasets.

Product features

Oxen provides a Git-like CLI and Python library optimized for datasets rather than code, handling millions of files and terabytes across any data type. It advertises roughly 40x faster performance than git-lfs.

The Oxen Hub adds a SaaS layer for team collaboration, sharing, and hosting, giving ML teams reproducible, versioned data pipelines that mirror their code workflows.

Target market

Oxen.ai targets ML engineers, data scientists, and teams that need scalable, reproducible versioning for training data, model weights, and multimodal assets.