This is a minimal implementation of MinHashing as described in Jeffrey Ullman's book Mining Massive Datasets. It is faster than datasketch by a significant amount in the extremely niche usecase that it was designed for, which is similarity checking strings for my ETL pipeline. As a general statement, I would say that minhashlib is good to use for similarity checking large amounts of strings efficiently but does not support the breadth of features that datasketch has (nor would I want it to at the moment). Contributions are welcome.
It can be installed via pip install minhashlib
If you want to run my benchmarks yourself, please check the wiki for detailed instructions.