ClearML
Open-source MLOps platform for experiments, pipelines, and model management
Lightning-fast data version control for machine learning datasets
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.
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.
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.
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.
Oxen.ai targets ML engineers, data scientists, and teams that need scalable, reproducible versioning for training data, model weights, and multimodal assets.
ML engineers and data scientists managing datasets.
ML platform and data leads adopting reproducibility tooling.
MLOps practitioners and open-source communities.
ML teams working with large, multimodal datasets who want git-like, reproducible data version control that scales beyond git-lfs.
Oxen.ai has raised early-stage venture funding (investors include Ritual Capital); verify specifics with the vendor.
Oxen is optimized for large datasets and advertises being roughly 40x faster than git-lfs.
Yes, the core data version control engine is open source and self-hostable.
Any type, including images, audio, video, text, and tabular formats like Parquet.
A SaaS platform built on top of Oxen for team collaboration, sharing, and hosting dataset repos.
Yes, it provides a git-like CLI and Python library familiar to software engineers.
Side-by-side pages for pricing, features, and best-fit use cases.
Open-source MLOps platform for experiments, pipelines, and model management
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