STM32CubeIDE compatibility with macOS & Apple M1 Chip

[Raees]

is STM32CubeIDE optimized for Apple M1 chip in new MAC(universal binary with both AArch64 and x86) ? or will the current version run with Rosetta 2 x86 emulation? anybody with M1 Mac tried ?

[ABrun.5]

Hi! Yes, it works fine, using Rosetta. I tested version 1.5 and board Discovery STM32F411. I don't think there is a native version yet.

[Raees]

@ABrun.5​ Thanks for the confirmation

[mattias norlander]

No native version yet. The component versions STM32CubeIDE depends on (Eclipse/CDT framework) did not offer native support until last release of 2020. Moving to the next Eclipse/CDT version requires also moving to a newer JRE and all of a sudden the investment to support M1 is huge from a validation point of view.

We are looking into all of this, but no firm time plan yet. Lots of dependencies!

Please share any issues you find with Rosetta.

[denizcan]

I wish, at least you completed the Big Sur compability.. After Big Sur, IDE is full of bugs.. That's why I stopped using Macbook, resurrected an old PC laptop which is pain in the back..

[Sshar.2]

Is the compatibility issue still there in the M1 MacbookAir in October 2021.

[Raees]

It works in M1 Macs without any compatibility issues (running on M1 Macbook Air, Bug sur). But it’s not native binary and runs with Rosetta 2 x86_64 translation. So the performance benefits of M1 is not visible

[ABrun.5]

Yes, I confirm it still works fine.

[DYenEmbedded]

Yes, STM32CubeIDE runs on Mac M1 Monterey 12.1 but the PATH does not contain /opt/homebrew/bin so scripts needing md5sum fail because that is where brew installed it.

[RReus.1]

Can you guys give me a update on this? Can you debug/program using the M1 Mac? Looking to make a transition from Windows. Thanks!

[TPacc.1]

I confirm STMCubeIDE works fine on my 14" MBP with M1pro CPU (macOS Monterey 12.6). However responsiveness compared to native Eclipse 2022 (launch time, navigation) is behind. Nevertheless build time for my small STM32 projects struggle to take more than 300 ms which is pleasant.

I hope native support will come someday...