roc-toolkit VS NumPy

It looks like https://github.com/roc-streaming/roc-toolkit is what I am looking for. Does anyone have links to real life latency tests? Looks pretty good!

There's already support in PipeWire for Roc. It's probably not enabled in most distros, considering Roc's latest stable release is quite ancient.

Sorry, no idea. Maybe it's possible with Roc? if the drivers mentioned in the roc-send man page don't require the PulseAudio modules then maybe it's possible, and there's also support for ALSA.

https://github.com/roc-streaming/roc-toolkit Real-time audio streaming over the network.

In NumPy with @, dot() or matmul():

In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.

Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:

numpy: A library for scientific computing in Python

Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.

I was looking at all the big projects like numpy, pytorch, flask, etc.

I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]