causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions. (by py-why)
looper
A resource list for causality in statistics, data science and physics (by msuzen)
| causal-learn | looper | |
|---|---|---|
| 2 | 2 | |
| 1,518 | 267 | |
| 2.6% | 0.4% | |
| 6.3 | 5.8 | |
| 12 days ago | about 2 months ago | |
| Python | ||
| MIT License | - |
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.
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.
causal-learn
Posts with mentions or reviews of causal-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-24.
looper
Posts with mentions or reviews of looper. We have used some of these posts to build our list of alternatives and similar projects.
What are some alternatives?
When comparing causal-learn and looper you can also consider the following projects:
directory-structure - :package: Print a directory tree structure in your Python code.
HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.
dodiscover - [Experimental] Global causal discovery algorithms
datascience - This repository is a compilation of free resources for learning Data Science.
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.
Data-science-best-resources - Carefully curated resource links for data science in one place