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Dowhy Alternatives
Similar projects and alternatives to dowhy
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causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
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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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causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
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causalgraph
A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
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SaaSHub
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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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pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better dowhy alternative or higher similarity.
dowhy reviews and mentions
Posts with mentions or reviews of dowhy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-26.
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Causality for Machine Learning
I'm a fan of the Do Why library out of Microsoft. Even as a novice in the field of causal modeling it can get you up and running by estimating the causal graph based on your data. https://github.com/py-why/dowhy
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Acceptable data formats for Predictive Stepwise Logistic Regression
considering how well understood the generating process is, causal analysis could potentially be very powerful here and would model the "not every possible combination of variables is represented" component extremely naturally. https://github.com/py-why/dowhy
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Do you use any specific framework when it comes to causal inference?
The Do-why package could be useful.
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Causal Explanations Considered Harmful: On the logical fallacy of causal projection
Here's one from Microsoft! https://github.com/py-why/dowhy
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[Q] What are some of the most useful topics/classes in philosophy for Statistics?
Before those discussions, it's good to understand the very basics of the topic so you 1) demonstrate momentum to the prof, and 2) have the basis for a meaningful discussion. For causal reasoning, you can check out the Pearl book Causal inference in statistics, a primer, which is short and readable. Definitely check out the Do Why python package which has good tutorials and videos.
- [R] DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
- DoWhy is a Python library for causal inference
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www.saashub.com | 10 May 2024
Stats
Basic dowhy repo stats
8
6,757
8.8
6 days ago
py-why/dowhy is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of dowhy is Python.
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