Software Alternatives & Reviews
Register | Login

The Libra Toolkit VS DimML

Compare The Libra Toolkit VS DimML and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

The Libra Toolkit logo The Libra Toolkit

Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models.

DimML logo DimML

The DimML programming language enables users to run any data solution on any website with only a single line of code.
  • The Libra Toolkit Landing page
    Landing page //
    2019-11-25
  • DimML Landing page
    Landing page //
    2019-06-03

Category Popularity

0-100% (relative to The Libra Toolkit and DimML)

The Libra Toolkit

DimML

Python Tools
6 6%
Python Tools
94% 94
Data Science Tools
6 6%
Data Science Tools
94% 94
Data Science And Machine Learning
6 6%
Data Science And Machine Learning
94% 94
Software Libraries
50 50%
Software Libraries
50% 50

User comments

Share your experience with using The Libra Toolkit and DimML. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing The Libra Toolkit and DimML, 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 is the world's biggest computer vision library

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.

Loading...