Software Alternatives & Reviews
Register   |   login

DimML VS Scikit-learn

Compare DimML VS Scikit-learn 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.

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

DimML details

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

Scikit-learn details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website scikit-learn.org  
Pricing URL-
Details $-
Platforms
-
Release Date-

DimML videos

No DimML videos yet. You could help us improve this page by suggesting one.

+ Add video

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity beta

0-100% (relative to DimML and Scikit-learn)
40
40%
60%
60
39
39%
61%
61
100
100%
0%
0

What are some alternatives?

When comparing DimML and Scikit-learn, you can also consider the following products

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.

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.

User comments

Share your experience with using DimML and Scikit-learn. For example, how are they different and which one is better?

Add Comment