kubeflow VS polyaxon

Compare kubeflow vs polyaxon and see what are their differences.

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kubeflow polyaxon
3 9
13,552 3,465
1.3% 0.8%
8.5 8.8
6 days ago 10 days ago
TypeScript 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.

kubeflow

Posts with mentions or reviews of kubeflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-23.
  • Machine Learning Orchestration on Kubernetes using Kubeflow
    5 projects | dev.to | 23 Mar 2021
    If you are looking for bringing agility, improved management with enterprise-grade features such as RBAC, multi-tenancy and isolation, security, auditability, collaboration for the machine learning operations in your organization, Kubeflow is an excellent option. It is stable, mature and curated with best-in-class tools and framework which can be deployed in any Kubernetes distribution. See Kubeflow roadmap here to look into what's coming in the next version.

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 kubeflow and polyaxon you can also consider the following projects:

kserve - Standardized Serverless ML Inference Platform on Kubernetes

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

MLflow - Open source platform for the machine learning lifecycle

BentoML - Build Production-Grade AI Applications

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

dvc - 🦉 ML Experiments and Data Management with Git

neptune-client - :ledger: The MLOps stack component for experiment tracking

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.

pipelines - Machine Learning Pipelines for Kubeflow

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

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.