BayesPy is the Python Tool for Bayesian Network.

you may use WEKA (free software). It has also user friendly interface.

bnlearn from Marco Scutari is by far the best R-Package for Bayesian networks. See http://www.bnlearn.com/

It contains everything from structure learning to inference.

You can use GENIE software.

It is easy to use and also free for academic works.

Recently, It has been used widely in many publications.

I have used it in my work.

Check the website https://www.bayesfusion.com/ .

Best of luck

I recommend Netica.

Huginand GENIE

Some R packages for inference:

gRain and the accompanying gRbase for manipulating graphs. Read more at

https://www.jstatsoft.org/article/view/v046i10

jti is good for networks with big probability tables. Read more at

Preprint sparta: Sparse Tables and their Algebra with a View Towards ...