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What is 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.
H2O is a tool in the Machine Learning Tools category of a tech stack.
H2O is an open source tool with 4.3K GitHub stars and 1.6K GitHub forks. Here’s a link to H2O's open source repository on GitHub

Who uses H2O?

13 companies reportedly use H2O in their tech stacks, including Badgeville, BlueData, and ProtoBrain.

31 developers on StackShare have stated that they use H2O.

Why developers like H2O?

Here’s a list of reasons why companies and developers use H2O
Top Reasons
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H2O Alternatives & Comparisons

What are some alternatives to H2O?
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 is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.
ML Kit
ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
See all alternatives

H2O's Stats

H2O's Followers
35 developers follow H2O to keep up with related blogs and decisions.
David Lewis
Athar Kharal
Dith Narkyose
Himansu Sekhar
Gabriel Gatica
Benjamin Moritz