argoflow
Argoflow has been superseded by deployKF (by argoflow)
manifests
A repository for Kustomize manifests (by kubeflow)
argoflow | manifests | |
---|---|---|
3 | 6 | |
140 | 745 | |
- | 1.3% | |
0.0 | 8.4 | |
10 months ago | 10 days ago | |
YAML | YAML | |
GNU Affero General Public License v3.0 | 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.
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.
argoflow
Posts with mentions or reviews of argoflow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-15.
-
Having trouble deploying Kubeflow on ArgoCD (Local Cluster)
I have a couple of VM's running a Kubernetes cluster, I've been trying for a while to deploy Kubeflow on ArgoCD using 'ArgoFlow' (https://github.com/argoflow/argoflow), I can get ArgoFlow running on a Load Balancer and access the UI. I had a lot of trouble getting their script to work so I manually updated the .yaml files in my cloned Git repo to point to itself, when I deploy Kubeflow from their manifests, most things seem to fail with the error: "one or more synchronization tasks are not valid". Is there a different/easier way of deploying Kubeflow on my local cluster using ArgoCD? Been attempting this for months now.
-
Help wanted to deploy Kubeflow using ArgoCD on some local VM's
Thank you for the reply, I did not know about Argo Workflows. What I've been trying to do is follow the https://github.com/argoflow/argoflow instructions to get it up and running.
-
Install kubeflow using terraform
Wouldn’t it make more sense to provision resources inside Kubernetes using specific tooling like ArgoCD or Flux? https://github.com/argoflow/argoflow
manifests
Posts with mentions or reviews of manifests.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-13.
-
CloudRun for Anthos and Kubeflow conflict
I have a baremetal k8s with Anthos and successfully installed ASM (Cloud Run for Anthos) on it. However, there is some conflict when trying to install Kubeflow following this repo (https://github.com/kubeflow/manifests).
- Kubeflow v1.7.0 installation with M1/M2 Apple Silicon Mac
-
Any MLOps platform you use?
That said I personally use Kubeflow hosted on a local baremetal kubernetes cluster (8 nodes, 4 gpus), but a lot of it is a bit of a bear to get installed correctly in a multi-machine environment (specifically this issue is still open and exposing the built-in dashboards outside of the cluster is a problem). Also because it's a Google product it's very clearly intended to run in the cloud with self-hosting being very much an afterthought
-
How to run kubeflow locally on Mac os M1 ?
kind create cluster and then use the single installation command from https://github.com/kubeflow/manifests
-
Help wanted to deploy Kubeflow using ArgoCD on some local VM's
I have deployed kubelfow v1.6 using using ArgoCD and it’s fairly simple. Every component of kubeflow has kustomze file ready kubeflow kustomize link. You just need to make argocd app for every component and then apply in that order.
-
Self-hosting tools for ML ops/experiment management (e.g. wandb or kubeflow)
For context, I run a local baremetal k8s cluster distributed over a number of machines and I've tried both [wandb](https://wandb.ai/site) and [kubeflow](https://www.kubeflow.org/), finding them to be a serious headache to manage in a local deployment. Almost none of the self-hosted builds they provide work out of the box, there's a frequent issues that have caused me significant amounts of data loss, and there are several known issues on both projects that have been open for years that make for my particular use-case difficult (e.g. [access outside of the cluster requiring a bunch of yak shaving](https://github.com/kubeflow/manifests/issues/974)).
What are some alternatives?
When comparing argoflow and manifests you can also consider the following projects:
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
manifests - ⚠️ [Unofficial] Modified version for M1/M2 Apple Silicon Mac. ⚠️
MLflow - Open source platform for the machine learning lifecycle
neptune-client - 📘 The MLOps stack component for experiment tracking