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Kubeflow VS Myelin.io

Compare Kubeflow VS Myelin.io and see what are their differences

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Kubeflow logo Kubeflow

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

Myelin.io logo Myelin.io

Myelin is a Kubernetes native end to end machine learning framework.
  • Kubeflow Landing page
    Landing page //
    2023-10-11
  • Myelin.io Landing page
    Landing page //
    2021-05-24

Myelin is a Kubernetes native end to end machine learning framework. It enables data scientists and machine learning engineers to train, deploy and monitor machine learning models.

Kubeflow features and specs

No features have been listed yet.

Myelin.io features and specs

  • Istio: Yes
  • Model Deployment: Yes
  • Hyperparameter Tuning: Yes
  • Spark: Yes
  • Distributed Training: Yes
  • Monitoring: Yes

Kubeflow videos

+ Add

Kubeflow 0.6 Release Feature Review

More videos:

  • Review - Kubeflow @ApacheSpark Operator PR update with review feedback
  • Review - Sentiment Analysis using Kubernetes and Kubeflow

Myelin.io videos

No Myelin.io videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Kubeflow and Myelin.io)

Kubeflow

Myelin.io

Data Science And Machine Learning
80 80%
Data Science And Machine Learning
20% 20
Machine Learning Tools
60 60%
Machine Learning Tools
40% 40
Web Frameworks
100 100%
Web Frameworks
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

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Social recommendations and mentions

Based on our record, Kubeflow seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Kubeflow mentions (2)

  • The Bacalhau Vision – A Distributed Compute over Data Platform
    I'm David Aronchick - first non-founding PM on Kubernetes, co-founder of Kubeflow [1], and co-founder of the SAME project [2] - and we've spent the past year working on Bacalhau [3], an open source project to bring compute to data. We've recently opened up a public-hosted cluster (all runnable from colab in our docs [4]) and would love your feedback - you can see our vision at the attached blog post. Thanks!... - Source: Hacker News / about 1 year ago
  • An update on relationships between stocks - STATISTICS ROCKS! - Brought to you by the SuperstonkQuants 🦍🥼🔬🚀
    You have GitHub org and a Vue based website up and running already, so it seems like you have tech logistics covered. Just in case it's useful, I have experience with Kubernetes, which can help run computationally intense workloads (even if GPUs are needed) or provide a pool of compute for something like Kubeflow (kubeflow.org). Here if you want, feel free to ignore if you're all covered in this area - I'll be... Source: almost 3 years ago

Myelin.io mentions (0)

We have not tracked any mentions of Myelin.io yet. Tracking of Myelin.io recommendations started around Mar 2021.

What are some alternatives?

When comparing Kubeflow and Myelin.io, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

MCenter - Machine Learning Operationalization

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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