pipelines VS deployKF

Compare pipelines vs deployKF and see what are their differences.

pipelines

Machine Learning Pipelines for Kubeflow (by kubeflow)
kubeflow-pipelines Mlops kubeflow Machine Learning Kubernetes Pipeline Data Science
Source Code
kubeflow.org
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deployKF

deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform. (by deployKF)
Gitops kubeflow Kubernetes Kustomize Mlops Argocd
Source Code
deploykf.org
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pipelines deployKF
2 2
3,446 257
0.7% 7.4%
9.8 8.6
about 23 hours ago 8 days ago
Python Shell
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.

pipelines

Posts with mentions or reviews of pipelines. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-31.
  • Putting an ML model into production using Feast and Kubeflow on Azure (Part I)
    2 projects | dev.to | 31 Mar 2021
    Kubeflow Pipelines comes with a pre-defined KFServing component which can be imported from the GitHub repo and reused across the pipelines without the need to define it every time. KFServing is Kubeflow's solution for "productionizing" your ML models and works with a lot of frameworks like Tensorflow, sci-kit, and PyTorch among others.
  • Machine Learning Orchestration on Kubernetes using Kubeflow
    5 projects | dev.to | 23 Mar 2021
    You can run the notebook from the dashboard and create the pipeline. Please note, in Kubeflow v1.2, there is an issue causing RBAC: permission denied error while connecting to the pipeline. This will be fixed in v1.3 and you can read more about the issue here. As a workaround, you need to create Istio ServiceRoleBinding and EnvoyFilter to add an identity in the header. Refer this gist for the patch.

deployKF

Posts with mentions or reviews of deployKF. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pipelines and deployKF you can also consider the following projects:

kubeflow - Machine Learning Toolkit for Kubernetes

bigbang - BigBang the product

fashion-mnist-kfp-lab - A notebook showing how to easily convert a current notebook you have to a notebook that can be run on Kubeflow Pipelines.

local-gitops - An automated local cluster setup w/ tls, monitoring, ingress and DNS configuration.

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

kubernetes-demo-gitops - This is the GitOps repo for project vjanz/kubernetes-demo-app

soopervisor - ☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.

argocd-lovely-plugin - A plugin to make Argo CD behave like we'd like.

community - Information about the Kubeflow community including proposals and governance information.

awesome-argo - A curated list of awesome projects and resources related to Argo (a CNCF graduated project)

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

kserve - Standardized Serverless ML Inference Platform on Kubernetes

pipelines vs kubeflow deployKF vs bigbang pipelines vs fashion-mnist-kfp-lab deployKF vs local-gitops pipelines vs fashion-mnist deployKF vs kubernetes-demo-gitops pipelines vs soopervisor deployKF vs argocd-lovely-plugin pipelines vs community deployKF vs awesome-argo pipelines vs bodywork deployKF vs kserve