H2O vs scikit-learn: What are the differences?
Developers describe H2O as "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. On the other hand, scikit-learn is detailed as "Easy-to-use and general-purpose machine learning in Python". scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
H2O and scikit-learn can be categorized as "Machine Learning" tools.
H2O and scikit-learn are both open source tools. scikit-learn with 35.7K GitHub stars and 17.4K forks on GitHub appears to be more popular than H2O with 4.12K GitHub stars and 1.5K GitHub forks.
Repro, Home61, and MonkeyLearn are some of the popular companies that use scikit-learn, whereas H2O is used by Badgeville, BlueData, and Shaw Academy. scikit-learn has a broader approval, being mentioned in 70 company stacks & 39 developers stacks; compared to H2O, which is listed in 7 company stacks and 4 developer stacks.
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