The advanced features Nim offers is in stark contrast with Go where simplicity is valued. But the power those features give you when you really need them is undeniable. There's no need to dance around certain problems.

I did move to Go from Python briefly for performance reasons but once I found Nim, there's just no going back. Simplicity might have real value in large projects but I just don't like my hands tied.

Statement on performance is surprising, I haven't personally benchmarked Nim against Go so couldn't say about that.

But I started using Go for the same reasons pointed out in parent and after being tired of changing Python code to C to resolve performance issues.

How about concurrency?

Nim is on par with C in a lot of benchmarks, e.g. https://github.com/kostya/benchmarks. Go is the king of concurrency, so whatever you compare to it loses. That said, Nim has async/await for concurrency, and I find threads and threadpools easy to use for paralelism.

Lets not get carryied away with Go advocacy,

https://www.techempower.com/benchmarks/#section=data-r19&hw=...

There is a link in another of my comments here and because Nim is pretty open architecture you can roll your own basis for what you want (more than most languages) such as: https://github.com/mratsim/weave

I can't speak about go vs nim generally, but:

Our particular design is a bunch of single-threaded apps on a message bus. Each app (network ingress/egress, data handling, relays, etc) sits on the bus, and can use async/await to do IO concurrency, but on the app level, there's no threading and no locking to observe.

Each app also has a erlang-inspired supervisor task system, where each task is just a async proc kept alive. It's proven to be very robust (from the standpoint of service availability) in the face of bugs or input validation mishaps.

The performance shouldn't be surprising, as it compiles via C (So it benefits from 50 years of work on C compilers), and almost all of the language constructs compile to essentially equivalent C code.

Nim also has an emit pragma where you can just inline C code (or code for the Javascript backend or C++ backend, etc.). So, if there is some poorly optimized (for whatever reason) hot inner loop you can fix it right there, though you start sacrificing portability (often the trade off for optimal performance). You can even do SIMD intrinsics right in Nim no problemo just using the FFI Nim has for C calls.

Python is written in C, and yet ...

Compiling to C really isn't relevant. "50 years of work on C compilers" is not at all relevant--languages that compile to LLVM get all the advantages of the optimization work.

Written in C is not the same that compiled via C. If you want Python compiled via C you can use Cython, and without much surprise, you usually get a huge speed up (e.g. https://notes-on-cython.readthedocs.io/en/latest/std_dev.htm...).