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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Machine Learning Tools
  5. PredictionIO vs Seldon

PredictionIO vs Seldon

OverviewComparisonAlternatives

Overview

PredictionIO
PredictionIO
Stacks67
Followers110
Votes8
Seldon
Seldon
Stacks14
Followers46
Votes0
GitHub Stars1.5K
Forks302

PredictionIO vs Seldon: What are the differences?

PredictionIO: Open Source Machine Learning Server. PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery; Seldon: Open-source predictive analytics and recommendation engine. Seldon is an Open Predictive Platform that currently allows recommendations to be generated based on structured historical data. It has a variety of algorithms to produce these recommendations and can report a variety of statistics.

PredictionIO can be classified as a tool in the "Machine Learning Tools" category, while Seldon is grouped under "Predictive Analytics".

Some of the features offered by PredictionIO are:

  • Integrated with state-of-the-art machine learning algorithms. Fine-tune, evaluate and implement them scientifically.
  • Customize the modularized open codebase to fulfill any unique prediction requirement.
  • Built on top of scalable frameworks such as Hadoop and Cascading. Ready to handle data of any scale.

On the other hand, Seldon provides the following key features:

  • Real-time predictive scoring that exposes a REST API for external clients
  • Vector-based models for language modelling using Semantic vectors
  • Custom Offline Models

PredictionIO and Seldon are both open source tools. PredictionIO with 11.8K GitHub stars and 1.92K forks on GitHub appears to be more popular than Seldon with 1.4K GitHub stars and 303 GitHub forks.

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Detailed Comparison

PredictionIO
PredictionIO
Seldon
Seldon

PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

Seldon is an Open Predictive Platform that currently allows recommendations to be generated based on structured historical data. It has a variety of algorithms to produce these recommendations and can report a variety of statistics.

Integrated with state-of-the-art machine learning algorithms. Fine-tune, evaluate and implement them scientifically.;Customize the modularized open codebase to fulfill any unique prediction requirement.;Built on top of scalable frameworks such as Hadoop and Cascading. Ready to handle data of any scale.;Build powerful features in minutes, not months. Streamline the data engineering process.
Real-time predictive scoring that exposes a REST API for external clients;Vector-based models for language modelling using Semantic vectors;Custom Offline Models
Statistics
GitHub Stars
-
GitHub Stars
1.5K
GitHub Forks
-
GitHub Forks
302
Stacks
67
Stacks
14
Followers
110
Followers
46
Votes
8
Votes
0
Pros & Cons
Pros
  • 8
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What are some alternatives to PredictionIO, Seldon?

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

scikit-learn

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

Kubeflow

Kubeflow

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

TensorFlow.js

TensorFlow.js

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

Polyaxon

Polyaxon

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

MLflow

MLflow

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

H2O

H2O

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

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