keepsake VS cascade

Compare keepsake vs cascade and see what are their differences.

keepsake

Version control for machine learning (by replicate)
Version control Machine Learning
Source Code
keepsake.ai
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cascade

Lightweight and modular MLOps library targeted at small teams or individuals (by Oxid15)
Machine Learning ML Mlops feature-selection model-selection model-lifecycle Deep Learning
Source Code
oxid15.github.io
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keepsake cascade
4 9
1,637 16
0.0% -
0.0 9.3
about 1 year ago 3 days ago
Python Python
Apache License 2.0 Apache License 2.0
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.

cascade

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

What are some alternatives?

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

dvc - 🦉 ML Experiments and Data Management with Git

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

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

NVTabular - NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

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

powershap - A power-full Shapley feature selection method.

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

zenml - ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

guildai - Experiment tracking, ML developer tools

ds2 - Easiest way to use AI models without coding (Web UI & API support)

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

FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

keepsake vs dvc cascade vs deeplake keepsake vs ploomber cascade vs NVTabular keepsake vs aim cascade vs powershap keepsake vs clearml cascade vs zenml keepsake vs guildai cascade vs ds2 keepsake vs Samosa (समोसा) cascade vs FeatureHub