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 A Python package focussing on causal inference in quasi-experimental settings. The package allows for sophisticated Bayesian model fitting methods to be used in addition to traditional OLS.
 
-_**STATUS:** Feel free to explore and experiment with the repository, and we very much welcome feedback (via [Issues](https://github.com/pymc-labs/CausalPy/issues)). But be aware that this code is very alpha! Expect the codebase and API to change for a while, so it is not appropriate to rely on this package for in-production or research pipelines._
-
 ## Comparison to related packages
 
 Rather than focussing on one particular quasi-experimental setting, this package aims to have broad applicability.