keepsake vs summer

keepsake

Version control for machine learning (by replicate)

Version control Machine Learning

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keepsake.ai

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summer

A compartmental disease modelling framework (Python) (by monash-emu)

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keepsake		summer
	Project
4	Mentions	4
1,637	Stars	7
0.0%	Growth	-
0.0	Activity	0.0
about 1 year ago	Latest Commit	11 months ago
Python	Language	Python
Apache License 2.0	License	GNU General Public License v3.0 or later

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

keepsake

Posts with mentions or reviews of keepsake. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-05.

keepsake VS cascade - a user suggested alternative
2 projects | 5 Dec 2023
[D] Experiment Tracking Today: What do you use? Pros and cons.
1 project | /r/MachineLearning | 15 Oct 2021
[D] How to properly version control ML models amid rapid experimentation?
4 projects | /r/MachineLearning | 23 Apr 2021

Keepsake
[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
11 projects | /r/MachineLearning | 28 Mar 2021

Complementing the given answer, you could check https://github.com/replicate/keepsake for model versioning.

summer

Posts with mentions or reviews of summer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-29.

[D] Maintaining documentation with live results from experiments
3 projects | /r/MachineLearning | 29 May 2022
Australian health authorities release open source Covid modelling code
1 project | news.ycombinator.com | 4 Nov 2021
[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit?
11 projects | /r/MachineLearning | 28 Mar 2021

It's set up so the docstrings are automatically read for public classes/functions/methods (ie no _ prefix) and inserted into the docs. I did a little bit of manual setup to get the "automodule" feature to read in the docstrings from the modules I wanted to expose, but after that it's all automatic.

What are some alternatives?

When comparing keepsake and summer you can also consider the following projects:

dvc - 🦉 ML Experiments and Data Management with Git

projects - Sample projects using Ploomber.

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

speech-enhancement - Experiments with speech enhancement

aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Python Packages Project Generator - 🚀 Your next Python package needs a bleeding-edge project structure.

clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

nestedcvtraining

guildai - Experiment tracking, ML developer tools

Samosa (समोसा) - Enforce a triangular Git workflow. If this is not possible, explain why.