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HLearn VS Dataiku

Compare HLearn VS Dataiku and see what are their differences


HLearn is a high performance machine learning library written in Haskell.

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
HLearn Landing Page
HLearn Landing Page
Dataiku Landing Page
Dataiku Landing Page

HLearn details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website github.com  
Pricing URL-
Details $-
Platforms
-
Release Date-

Dataiku details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website dataiku.com  
Pricing URL-
Details $-
Platforms
-
Release Date-

Category Popularity beta

0-100% (relative to HLearn and Dataiku)
14
14%
86%
86
13
13%
87%
87
100
100%
0%
0

What are some alternatives?

When comparing HLearn and Dataiku, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

NumPy - NumPy is the fundamental package for scientific computing with Python

OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

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