MTuner VS tracy

I would really love to have some memory profiler that is capable of dealing of huge amount of data and allocations, robust and stable with stack traces on allocations. Similar to https://github.com/milostosic/MTuner

For memory profiling, MTuner is a good tool (worked much better for me than Visual Studio's memory profiler), and it's even open source.

Remotery - https://github.com/Celtoys/Remotery

Visual Studio's built-in profiler is an ok sampling profiler. It doesn't give you a nice multi-thread view which is a huge advantage to a span based profiler.

MTuner is quite nice for debugging memory usage. Which is another gaping hole in the Rust ecosystem. https://github.com/milostosic/mtuner

Lots of tools generate data in a format viewable by the Chrome trace viewer. I think Chrome's tracer viewer is not great. Maybe someday someone will create a viewer for the format that's good. I get cranky when large traces don't render at 60fps. Web-based viewers are almost all very very slow and it makes me sad.

i don't really think there is _anything_ that comes even close to tracy https://github.com/wolfpld/tracy.

on top of this, given google's penchant for dumping projects aka abandonware, this would be an easy pass.

The RemedyBG debugger (https://remedybg.handmade.network/) and the Tracy profiler (https://github.com/wolfpld/tracy) both use Dear ImGui and so far I've only read high praise from people who used those tools compared to the 'established' alternatives.

For tools like this, programmers are also just "normal users", and from the developer side, I'm sure they evaluated various alternatives with all their pros and cons before settling for Dear ImGui.

Not the person you asked, but generally you might want to look at "frame-based" profilers. These are typically used in video games, but the concept is general, and can apply to other applications. The "frame" could also be something like a request or transaction being processed. I like Tracy[1], myself.

Another latency metric that you'll see, often w/respect to web apps and microservices is "P99" and similar. This is the amount of time in which 99% of requests get their response. For a higher percentile, you get a better idea of worst-case performance.

[1] https://github.com/wolfpld/tracy

I've not actually used Superluminal, but I use Tracy for similar reasons. It's free though (and, importantly, open source).

For profiling, you can check tracy.

You could try Tracy

There is no such thing as overengineering in fun projects, so I've also adopted Tracy as profiling solution. Works quite nice and gonna save me plenty of times in the future debugging performance spikes on badly optimized math heavy operations.

I know about tools such as tracing, jaeger or tracy. While having a complete tracing could be a potential solution, these tools don't work with no_std.