# What are the differences between uniform and normal QuantileTransformer Normalizer?

In sklearn.preprocessing package there are QuantileTransformer(output_distribution="uniform") and QuantileTransformer(output_distribution="normal").

I want to know what are the differences between them, If someone shares their formula with a simple example it will be great.