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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Machine Learning Tools
  5. H2O vs PredictionIO

H2O vs PredictionIO

OverviewComparisonAlternatives

Overview

PredictionIO
PredictionIO
Stacks67
Followers110
Votes8
H2O
H2O
Stacks122
Followers211
Votes8
GitHub Stars7.3K
Forks2.0K

H2O vs PredictionIO: What are the differences?

H2O: H2O.ai AI for Business Transformation. 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; 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.

H2O and PredictionIO can be primarily classified as "Machine Learning" tools.

H2O and PredictionIO are both open source tools. PredictionIO with 11.8K GitHub stars and 1.92K forks on GitHub appears to be more popular than H2O with 4.15K GitHub stars and 1.51K GitHub forks.

Badgeville, BlueData, and Shaw Academy are some of the popular companies that use H2O, whereas PredictionIO is used by 500 Startups, Betaout, and Tokopedia. H2O has a broader approval, being mentioned in 7 company stacks & 5 developers stacks; compared to PredictionIO, which is listed in 5 company stacks and 5 developer stacks.

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Detailed Comparison

PredictionIO
PredictionIO
H2O
H2O

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

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.

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.
-
Statistics
GitHub Stars
-
GitHub Stars
7.3K
GitHub Forks
-
GitHub Forks
2.0K
Stacks
67
Stacks
122
Followers
110
Followers
211
Votes
8
Votes
8
Pros & Cons
Pros
  • 8
    Predict Future
Pros
  • 2
    Very fast and powerful
  • 2
    Auto ML is amazing
  • 2
    Highly customizable
  • 2
    Super easy to use
Cons
  • 1
    Not very popular

What are some alternatives to PredictionIO, H2O?

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.

Gluon

Gluon

A new open source deep learning interface which allows developers to more easily and quickly build machine learning models, without compromising performance. Gluon provides a clear, concise API for defining machine learning models using a collection of pre-built, optimized neural network components.

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