If you measure across those benchmarks, it indeed plateus. However, we've been doing a lot of work on stuff that's not taken into the account to the average, n

If you measure across those benchmarks, it indeed plateus. However, we've been doing a lot of work on stuff that's not taken into the account to the average, notably: * external calls (IO, cffi, etc.) * warmup speed * STM * tons of small things with various external libs Now this is obviously our own fault that we don't have good enough benchmarks, but it definitely does not plateu for everyone. Notably we're trying to address places where PyPy does not outperform CPython by 7x - if you get 7x performance improvement you're likely very happy. In real world gains can be smaller and we would rather tackle those first. We're working on memory impact too btw. Compatibility is pretty much "done" (complain if it does not work for you)