pycopent VS jidt

Compare pycopent vs jidt and see what are their differences.

pycopent

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python (by majianthu)

jidt

JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems (by jlizier)
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pycopent jidt
1 1
134 247
- -
6.0 6.0
10 days ago about 1 month ago
Python Java
GNU General Public License v3.0 only GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pycopent

Posts with mentions or reviews of pycopent. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-19.

jidt

Posts with mentions or reviews of jidt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-15.

What are some alternatives?

When comparing pycopent and jidt you can also consider the following projects:

DeepPoseKit - a toolkit for pose estimation using deep learning

ennemi - Easy Nearest Neighbor Estimation of Mutual Information

transferentropy - Code for the paper "Estimating Transfer Entropy via Copula Entropy"

Selenium WebDriver - A browser automation framework and ecosystem.

taylor - Taylor will tell you why your project is SO late

Graal - GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀

Inform - A cross platform C library for information analysis of dynamical systems

mlforecast - Scalable machine 🤖 learning for time series forecasting.