cascade VS polyaxon

Compare cascade vs polyaxon and see what are their differences.

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cascade polyaxon
9 9
16 3,486
- 0.5%
9.3 8.7
5 days ago 15 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.

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.

polyaxon

Posts with mentions or reviews of polyaxon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-25.

What are some alternatives?

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

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

MLflow - Open source platform for the machine learning lifecycle

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.

kubeflow - Machine Learning Toolkit for Kubernetes

powershap - A power-full Shapley feature selection method.

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

zenml - ZenML πŸ™: Build portable, production-ready MLOps pipelines. https://zenml.io.

dvc - πŸ¦‰ ML Experiments and Data Management with Git

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

onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

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

mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]