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· 3 min read
Michelle Tanco

H2O Wave allows for easily building front ends to your projects. I was recently inspired by this tutorial notebook which explains how to use open source H2O-3 for finding anomalies in a dataset. Part of this process is using the H2O-3 aggregator function to visualize relationships in large datasets. A data scientist is at home in a Jupyter Notebook, but we could make it easier for ourselves and analysts or other business users to run this code and benefit from the H2O-3 aggregator function by building a front-end using H2O Wave.

· 4 min read
Prithvi Prabhu

Wave ships with a growing library of cards and components for assembling user interfaces. For most apps, the built-in components can be adequate. They're designed to work well with each other, with consistent typography, layout and theming; and the library of components keeps expanding with each new release.

However, no matter how comprehensive the Wave library gets over time, there will be situations where an app needs to use external Javascript components to supplement Wave's capabilities, like custom visualizations, UI enhancements, and graphics.

Wave 0.16+ allows importing and using third-party Javascript libraries on a page. This provides an escape-hatch of sorts, allowing you to add UI capabilities that are not yet possible with stock Wave.

· 6 min read
Peter Szabó

Today, we're excited to announce H2O Wave ML, an open-source extension to Wave that makes it easy to use automatic machine learning in your Wave apps.

$ pip install h2o-wave[ml]

In this article, we look at what Wave ML can do for you, how to get started, and what predictive applications look like in practice.

· 3 min read
Prithvi Prabhu

Wave v0.12 shipped last week, with support for handling queries and routes using decorators and experimental support for switching themes. Here's a rundown of the major features.