SuperMemo, the spaced repetition software for learning that's the equivalent of photoshop in that space compared to the more popular Anki that's more akin to MS Paint.
And that was a non-option when Anki was created many years ago. At least Anki has plugins, though, which let you add quite a few capabilities to it bringing it more in line with SuperMemo.
[1]: https://github.com/alessivs/supermemo-wine
[2]: https://lutris.net/
Failing that, there's obviously virtualization.
> Anki has plugins...
I could dive and swim in the sea of Anki plugins. Though if you look closer, while activity around the extension ecosystem is vibrant, there is something more fundamental in the core of Anki that is producing excessive workloads, and making it generally not up to the demands of a large and varied body of knowledge and vehement use.
One example is the recommendation that a whole body of study is split into separate decks–which, I assume, seeks to avoid biasing scheduling towards that required by the more representative portion of material present in reviews. But you are equipped with one brain and live by a single time line, taking frequent local decisions regarding learning material which have global implications for your performance. When you split your study material into separate units of analysis, these details are too easy to ignore.
In contrast, SuperMemo's algorithms play well with (it is the recommendation, actually:) throwing everything into a single collection (deck)–items of knowledge which you can optionally prioritize individually or in groups–such that the global implications of your local choices are accounted for, maintaining the forgetting index premise, and gracefully adapting workloads to your capacity.
Instead of improving the core functionality in this direction, Anki community's response has been to give you more knobs (scheduler this, scheduler that, load balancer gobbledygook) around essentially the same historical limitations.