# How experminetal is the experimental API?

**URL:** <https://discourse.scverse.org/t/how-experminetal-is-the-experimental-api/809>\
**Category:** scanpy\
**Tags:** diff-exp\
**Created:** [October 7, 2022, 1:49pm UTC](https://discourse.scverse.org/t/how-experminetal-is-the-experimental-api/809 "2022-10-07T13:49:30Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![vmontalb](https://avatars.discourse-cdn.com/v4/letter/v/b5a626/32.png) [@vmontalb](https://discourse.scverse.org/u/vmontalb)\
**Post date:** [October 7, 2022, 1:49pm UTC](https://discourse.scverse.org/t/how-experminetal-is-the-experimental-api/809/1 "2022-10-07T13:49:30Z")

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Hi!

I have been using scanpy for a while, and its just… awesome! thanks!  
I have recently downlaoded a new dataset, and before re-running the same preproc recipe I was sing so far, I double-check for new/updated options.  
I read about the Pearson residuals normalization, but just saw its on the experimental API.

Thus, how experimental is that implementation? Safe to go but not so-documentaed to be merged in the latest version?  
As a bonus question, anyone could point me to which differentially expression framework is the most compatible one for Anndata/scanpy data? diffxpy has not been updated for a while…

thanks!

V