MLOps

Seldon

Seldon is a powerful tool for managing machine learning models.

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Seldon screenshot

Overview

Seldon helps data scientists and machine learning engineers to deploy, manage, and monitor their models easily. It allows teams to integrate machine learning into their applications without much hassle. With Seldon, organizations can scale their machine learning efforts efficiently, ensuring that models are used to their full potential.

The platform supports many machine learning frameworks and offers flexibility in deployment. Whether you are running models in the cloud, on-premises, or in a hybrid environment, Seldon has you covered. This versatility makes it a popular choice among businesses looking to optimize their machine learning workflows.

In addition to deployment, Seldon provides tools for monitoring and testing models in real-time. Users can check for performance issues and get alerts if models are not functioning as expected. This focus on management helps ensure that machine learning projects succeed and deliver value consistently.

Pros

  • User-friendly Interface
  • Wide Framework Support
  • Effective Monitoring Tools
  • Robust Community
  • Good Documentation

Cons

  • Learning Curve
  • Cost
  • Complex Setups
  • Limited Free Tier
  • Dependency Management

Key features

Model Deployment

Seldon enables easy deployment of machine learning models in various environments.

Support for Multiple Frameworks

It supports popular frameworks like TensorFlow, PyTorch, and Scikit-learn.

Real-time Monitoring

Users can monitor the performance of models in real-time, allowing for quick adjustments.

A/B Testing

Seldon allows you to test different versions of your models to see which performs better.

Scalability

The platform is designed to scale with your needs, accommodating more traffic as your business grows.

Integration

It integrates smoothly with major cloud providers, such as AWS and Google Cloud.

Security

Seldon has robust security features to protect your data and models.

Customizable

Users can customize their deployment pipelines to fit their specific requirements.

Rating Distribution

5
6 (54.5%)
4
5 (45.5%)
3
0 (0.0%)
2
0 (0.0%)
1
0 (0.0%)

Company Information

LocationLondon, GB
Founded2014
Employees94
4.3
★★★★☆
Based on 11 reviews
Baratam V.Microsoft Power apps developerMid-Market(51-1000 emp.)
June 24, 2024
★★★★☆

opting Seldon is good?

What do you like best about Seldon?

The one thing in the seldon.io we can feel best like this platform has dedicated people and support to help while having any issue while deploying our model in the seldon.io

What do you dislike about Seldon?

As of now, I couldn't find any though the documentation...

Read full review on G2 →
Anonymous ReviewerEnterprise(> 1000 emp.)
November 3, 2022
★★★★★

Model deployment with Seldon

What do you like best about Seldon?

Seldon provides a seamless way to deploy models at scale and monitor them post deployment. The multi armed bandit function helps several models to be in action for larger user bases during the inferencing.

What do you dislike about Seldon?

Seldon must provide a p...

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Anonymous ReviewerSmall-Business(50 or fewer emp.)
November 10, 2022
★★★★★

Increase efficiency of ML projects

What do you like best about Seldon?

The best part of Seldon is its a packaged offering in terms of model serving, model pipeline, model observability, model explainability and security packed in a single product.

What do you dislike about Seldon?

The Seldon community on Github has reported many iss...

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Nikita B.CEnterprise(> 1000 emp.)
August 9, 2022
★★★★★

Amazing Seldon Review

What do you like best about Seldon?

The best feature that I like about seldon is that it runs anywhere i.e on any cloud platform or on-premises. Also, it provides advanced machine learning capabilities and can handle scaling to thousand of production out of the box.

What do you dislike about Seldon...

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Anonymous ReviewerEnterprise(> 1000 emp.)
November 3, 2022
★★★★★

Best open source tool for model deployment and more...

What do you like best about Seldon?

Seldon integrates seamlessly with many open-source stacks like Kubeflow, MLFlow or any custom MLOps stack that requires model serving that includes deployment and monitoring as a core capability.

What do you dislike about Seldon?

Seldon needs to improvise the doc...

Read full review on G2 →

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FAQ

Here are some frequently asked questions about Seldon.

What is Seldon?

Seldon is a platform designed to help deploy, manage, and monitor machine learning models.

Can Seldon work with different machine learning frameworks?

Yes, Seldon supports many popular frameworks like TensorFlow, PyTorch, and Scikit-learn.

Is there a free version of Seldon?

Yes, Seldon offers a free tier, but it has some limitations on usage.

How does Seldon help in monitoring models?

Seldon provides real-time monitoring tools to track model performance and identify issues.

Does Seldon support A/B testing?

Yes, Seldon allows users to conduct A/B testing to compare different model versions.

Is Seldon easy to use for beginners?

While Seldon has a user-friendly interface, there may be a learning curve for complete beginners.

Can I deploy models in the cloud with Seldon?

Yes, Seldon can be used to deploy models in cloud environments as well as on-premises.

What are the security features of Seldon?

Seldon includes robust security measures to protect your models and data.