Keepsake
Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
Pricing
See website
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
—Overview
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
Strength Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
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
None
Starts at
See website
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.