Yes, there are several other open source aligners out there, mostly from academic research or derived from academic projects. In my personal GitHub page I have a repo with an annotated list of forced aligners. (If I add a link to it, the spam detector triggers ?! Anyway, google "github forced-alignment-tools" to find it.)

Gentle, which is based on Kaldi, has a good performance, and an handy setup script.

However, these aligners, which are based on automatic speech recognition techniques, have pre-trained models only for English and maybe an handful of other "popular" languages. Some allows you to train your own language model, but very few users have the actual competence/resources for doing that.

aeneas is build using an older approach, which has the advantage of requiring weaker language models, that are already available (in the form of TTS voices): this is the reason why it "supports" so many languages. Of course the disadvantage is that aeneas works decently well at (sub)sentence granularity, but worse than ASR-based aligners at word granularity or with more noisy audio files.