Model Hubs & Serving

Keepsake

Version control for machine learning with support to Amazon S3 and Google Cloud Storage.

Status
UnmaintainedNo commits in 631 days.
Last checked
Checked · Oct 11, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Keepsake provides version control for machine learning projects, enabling reproducibility and collaboration. It supports integration with cloud storage services like Amazon S3 and Google Cloud Storage.

Keepsake stands out by offering version control specifically tailored to machine learning projects, ensuring reproducibility and ease of collaboration.

When it fits — and when it doesn’t

A good fit for

  • Teams needing reproducibility and version control for their ML experiments

  • Developers working with Amazon S3 or Google Cloud Storage for model storage

Look elsewhere if

  • Projects that do not require cloud storage integration

  • Users who prefer a managed service over self-hosted solutions

Known weaknesses

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

  1. 01

    Complex setup process for new users

    Documentation lacks step-by-step guides for setting up in different environments

What it does well

  • Version control for machine learning experiments

  • Integration with Amazon S3 and Google Cloud Storage

  • Reproducibility of ML projects

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 Keepsake

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

Open the setup guide →
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Keepsake — tracked on AI Navigator

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