looper VS causal-learn

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

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
Source Code
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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 causal-learn
2 1
235 982
- 5.6%
7.3 7.9
about 2 months ago 15 days 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.

looper

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

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.

What are some alternatives?

When comparing looper and causal-learn you can also consider the following projects:

Data-science-best-resources - Carefully curated resource links for data science in one place

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.

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

dodiscover - [Experimental] Global causal discovery algorithms

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

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

sections - Easy Python tree data structures

datascience - Curated list of Python resources for data science.

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

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

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