I have been a few months into PyNeuraLogic because of its focus on Relational Deep Learning (in particular Lifted Relational Neural Networks). I would say the main selling point is extending GNNs (Graph Neural Networks)

From what I can see on the Scallop website, the focus is on vision and NLP.

So both are similar approaches combining deep learning with symbolic reasoning (and both are based in Datalog) but the problems they are tackling are quite different. Also, both approaches have made it to top conferences like NeurIPS and ICLR, so I guess this field is gaining momentum.