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  5. H2O vs TensorFlow.js

H2O vs TensorFlow.js

OverviewComparisonAlternatives

Overview

H2O
H2O
Stacks122
Followers211
Votes8
GitHub Stars7.3K
Forks2.0K
TensorFlow.js
TensorFlow.js
Stacks184
Followers378
Votes18
GitHub Stars19.0K
Forks2.0K

H2O vs TensorFlow.js: What are the differences?

What is 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.

What is TensorFlow.js? Machine Learning in JavaScript. 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.

H2O and TensorFlow.js can be categorized as "Machine Learning" tools.

H2O and TensorFlow.js are both open source tools. It seems that TensorFlow.js with 11.2K GitHub stars and 816 forks on GitHub has more adoption 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 TensorFlow.js is used by 8villages, ADEXT, and Taralite. H2O has a broader approval, being mentioned in 7 company stacks & 5 developers stacks; compared to TensorFlow.js, which is listed in 5 company stacks and 3 developer stacks.

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Detailed Comparison

H2O
H2O
TensorFlow.js
TensorFlow.js

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.

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

Statistics
GitHub Stars
7.3K
GitHub Stars
19.0K
GitHub Forks
2.0K
GitHub Forks
2.0K
Stacks
122
Stacks
184
Followers
211
Followers
378
Votes
8
Votes
18
Pros & Cons
Pros
  • 2
    Super easy to use
  • 2
    Very fast and powerful
  • 2
    Highly customizable
  • 2
    Auto ML is amazing
Cons
  • 1
    Not very popular
Pros
  • 6
    Open Source
  • 5
    NodeJS Powered
  • 2
    Deploy python ML model directly into javascript
  • 1
    Runs Client Side on device
  • 1
    Privacy - no data sent to server
Integrations
No integrations available
JavaScript
JavaScript
TensorFlow
TensorFlow

What are some alternatives to H2O, TensorFlow.js?

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.

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.

PredictionIO

PredictionIO

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

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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