conditional logit for panel data in python
I'm the creator of pylogit.
I don't have built in utilities for estimating conditional logits with fixed effects. However, you can use pylogit to estimate this model. Simply

Create dummy variables for each decision maker. Be sure to leave out one decision maker for identification.
For each created dummy variable, add dummy variable's column name to the one's utility specification.
I am trying to estimate a logit model with individual fixed effects in a panel data setting, i.e. a conditional logit model, with python.
I have found the pylogit library. However, the documentation I could find, explained how to use the conditional logit model for multinomial models with varying choice attributes. This model does not seem to be the same use case as a simple binary panel model.
So my questions are: 
Does pylogit allow to estimate conditional logits for panel data? 
If so, is there documentation? 
If not, are there other libraries that allow you to estimate this type of model?
Any help would be much appreciated.