Keepsake
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Keepsake?
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.
Key differentiator
“Keepsake stands out by offering version control specifically tailored to machine learning projects, ensuring reproducibility and ease of collaboration.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary development focus is on Python, with minimal support for other languages
Documentation lacks step-by-step guides for setting up in different environments
Fit analysis
Who is it for?
✓ Best for
Teams needing reproducibility and version control for their ML experiments
Developers working with Amazon S3 or Google Cloud Storage for model storage
✕ Not a fit for
Projects that do not require cloud storage integration
Users who prefer a managed service over self-hosted solutions
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Next step
Get Started with Keepsake
Step-by-step setup guide with code examples and common gotchas.