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Myelin.io VS Datatron

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

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Contents:
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Myelin.io logo Myelin.io

Myelin is a Kubernetes native end to end machine learning framework.

Datatron logo Datatron

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
  • 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.

  • Datatron Landing page
    Landing page //
    2023-02-11

Myelin.io features and specs

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

Datatron features and specs

No features have been listed yet.

Myelin.io videos

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

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Datatron videos

+ Add

Harish Doddi demos Datatron @SFNewTech on 1 Mar 2017 #SFNT @getdatatron

More videos:

  • Review - Virtual Records Management from Datatron

Category Popularity

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

Myelin.io

Datatron

Machine Learning Tools
23 23%
Machine Learning Tools
77% 77
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Hyperparameter Tuning
100 100%
Hyperparameter Tuning
0% 0
Monitoring Tools
100 100%
Monitoring Tools
0% 0

User comments

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What are some alternatives?

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

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

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.

Seldon - Seldon increases engagement and revenue by providing a smarter personalised user experience.

MCenter - Machine Learning Operationalization

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Kubeflow - Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

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