pgmpy VS CausalPy

Compare pgmpy vs CausalPy and see what are their differences.

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks. (by pgmpy)

CausalPy

A Python package for causal inference in quasi-experimental settings (by pymc-labs)
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pgmpy CausalPy
2 2
2,617 769
1.4% 5.5%
8.0 9.2
6 days ago 2 days ago
Python Python
MIT License Apache License 2.0
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.

pgmpy

Posts with mentions or reviews of pgmpy. We have used some of these posts to build our list of alternatives and similar projects.

CausalPy

Posts with mentions or reviews of CausalPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-09.

What are some alternatives?

When comparing pgmpy and CausalPy you can also consider the following projects:

causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.

lumi - Lumi is an nano framework to convert your python functions into a REST API without any extra headache.

statsmodels - Statsmodels: statistical modeling and econometrics in Python

causalml - Uplift modeling and causal inference with machine learning algorithms

scikit-learn - scikit-learn: machine learning in Python

dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

rustworkx - A high performance Python graph library implemented in Rust.

mbdpy - Python module for model-based-design

pyhf - pure-Python HistFactory implementation with tensors and autodiff

genome_integration - MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.

Lottery-Simulation - This program can simulate a number of drawings in the Lottery (6 out of 49). The guesses and the draws are chosen randomly and the user can choose how many right guesses there should be (0-6). Then the program will run through the simulation as many times as it takes to get the exact number of correct guesses the user chose. The user can also choose how many times this should be repeated (the higher the number, the more accurate the result will be). Then the program will automatically calculate the average number of tries it took to get the chosen number of correct guesses and tell the user the chance of getting this certain number of correct guesses.

python-easter-eggs - Curated list of all the easter eggs and hidden jokes in Python