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Causality Alternatives
Similar projects and alternatives to Causality
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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.
Causality reviews and mentions
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Simpson's Paradox
It’s actually surprisingly common. You can even find it in “classical” toy datasets like Iris: https://github.com/DataForScience/Causality/blob/master/1.2%...
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Causality for Machine Learning
I also have a series of blog posts on the topic: https://github.com/DataForScience/Causality where I work through Pearls Primer: https://amzn.to/3gsFlkO
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Review: The Book of Why
You might enjoy my blog series on Causality where I work through Pearls 'Causal Inference in Statistics: A Primer' using Python:
https://github.com/DataForScience/Causality
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Graph Algorithms for Data Science
True, there isn’t much there yet. It was just launched today, after all.
If you want to check out something a bit more substantive, how about this: https://github.com/DataForScience/Causality
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A note from our sponsor - SaaSHub
www.saashub.com | 24 May 2024
Stats
DataForScience/Causality is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Causality is Jupyter Notebook.
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