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DimML VS Exploratory

Compare DimML VS Exploratory and see what are their differences


The DimML programming language enables users to run any data solution on any website with only a single line of code.

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

DimML details

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

Exploratory details

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

Category Popularity beta

0-100% (relative to DimML and Exploratory)
45
45%
55%
55
44
44%
56%
56
50
50%
50%
50

What are some alternatives?

When comparing DimML and Exploratory, 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...

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

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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