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HanTa
The Hanover Tagger - A simple approach to lemmatization and POS-tagging of German morphology based on heuristics and hidden markov models
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Stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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For me, HanoverTagger, HanTa (https://github.com/wartaal/HanTa) yielded better results than spacy. On the other hand, spacy has this nice visualization of relationship between terms that I found useful in the past. I ended up using both, because sometimes spacy lemmas are not optimal and I also had some problems with verbs.
I use Python's spacy library: https://spacy.io/models/de or stanza: https://stanfordnlp.github.io/stanza/ each with their respective language models.