replicate/keepsake

Health v2 · maintenance only

Adoption not part of the score

1681 stars · 76 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Keepsake is a Python library and CLI for version control of machine learning experiments, tracking code, hyperparameters, weights, and metrics to your own Amazon S3 or Google Cloud Storage buckets. It lets you list, filter, diff, and restore experiments and model checkpoints from the command line or notebooks.

Use cases

• track machine learning experiments with code, params, and metrics
• version model weights in my own S3 bucket
• compare and diff training runs
• restore checkpoints from past experiments
• analyze experiment results in a notebook
• replace a spreadsheet of ML experiment results

When to choose

• you want experiment tracking with data stored on your own cloud storage with no server
• you need to version model weights alongside code and hyperparameters
• you work in Python with PyTorch, TensorFlow, or scikit-learn and want minimal integration code

When to avoid

• you need actively maintained software with ongoing support
• you want a hosted experiment tracking dashboard with a web UI
• you don't use Amazon S3 or Google Cloud Storage

Facets

library · maturity abandoned

version-control machine-learning cli logging machine-learning developer-tools version-control data-science python cli cross-platform experiment-tracking model-versioning mlops s3 google-cloud-storage checkpoints

Member repositories

For agents

markdown · JSON · MCP: product_card(name="replicate/keepsake")