ennemi VS pycopent

Compare ennemi vs pycopent 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)
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ennemi pycopent
1 1
34 134
- -
5.9 6.0
about 1 month ago about 2 months ago
Python Python
MIT License 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.

ennemi

Posts with mentions or reviews of ennemi. 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 ennemi and pycopent you can also consider the following projects:

Lethe - Python Pentesting Framework

DeepPoseKit - a toolkit for pose estimation using deep learning

jidt - JIDT: Java Information Dynamics Toolkit for studying information-theoretic measures of computation in complex systems

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

mlforecast - Scalable machine 🤖 learning for time series forecasting.

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

bintropy - Analysis tool for estimating the likelihood that a binary contains compressed or encrypted bytes

corex_topic - Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx