Causal-learn Alternatives
Similar projects and alternatives to causal-learn
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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.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
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looper
A resource list for causality in statistics, data science and physics
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HumesGuillotine
Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.
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Structure_threader
A wrapper program to parallelize and automate runs of "Structure", "fastStructure" and "MavericK".
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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directory-structure
:package: Print a directory tree structure in your Python code.
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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.
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Stats
py-why/causal-learn is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of causal-learn is Python.