flyte VS kubeflow

Compare flyte vs kubeflow and see what are their differences.

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flyte kubeflow
31 3
4,671 13,552
6.2% 1.3%
9.8 8.5
about 17 hours ago 7 days ago
Go TypeScript
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.

flyte

Posts with mentions or reviews of flyte. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-15.

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.

What are some alternatives?

When comparing flyte and kubeflow you can also consider the following projects:

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

argo - Workflow Engine for Kubernetes

kserve - Standardized Serverless ML Inference Platform on Kubernetes

temporal - Temporal service

BentoML - Build Production-Grade AI Applications

Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)

Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

hera - Hera is an Argo Python SDK. Hera aims to make construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. ⭐️ Remember to star!

pachyderm - Data-Centric Pipelines and Data Versioning

kestra - Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.