causal-learn VS looper

Compare causal-learn vs looper and see what are their differences.

causal-learn

Causal Discovery in Python. It also includes (conditional) independence tests and score functions. (by py-why)
causal causal-discovery causal-inference Causality Python Graph Structure tetrad continous time-series hidden-causal confounder
Source Code
causal-learn.readthedocs.io
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looper

A resource list for causality in statistics, data science and physics (by msuzen)
Statistics statistical-inference bayesian-inference causality-analysis Causality Data Science Physics Machine Learning causal-inference meta-learning causal-machine-learning causal-models causality-algorithms Causation causal-networks statistical-physics statistical-mechanics causal causal-discovery causal-impact
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causal-learn looper
1 2
982 235
5.2% -
7.9 7.3
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.
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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.

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:

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

dodiscover - [Experimental] Global causal discovery algorithms

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

tfcausalimpact - Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

sections - Easy Python tree data structures

causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.

datascience - Curated list of Python resources for data science.

Structure_threader - A wrapper program to parallelize and automate runs of "Structure", "fastStructure" and "MavericK".

causal-learn vs dowhy looper vs Data-science-best-resources causal-learn vs dodiscover looper vs causalnex causal-learn vs tfcausalimpact looper vs dowhy causal-learn vs sections looper vs causalglm causal-learn vs HumesGuillotine looper vs datascience causal-learn vs Structure_threader looper vs HumesGuillotine