jidt VS pycopent

Compare jidt vs pycopent and see what are their differences.

jidt

JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems (by jlizier)

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)
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jidt pycopent
1 1
247 134
- -
6.0 6.0
about 1 month ago 10 days ago
Java Python
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.

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.

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.

What are some alternatives?

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

ennemi - Easy Nearest Neighbor Estimation of Mutual Information

DeepPoseKit - a toolkit for pose estimation using deep learning

Selenium WebDriver - A browser automation framework and ecosystem.

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

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

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

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

mlforecast - Scalable machine 🤖 learning for time series forecasting.