Zephyr RTOS system-wide runtime visualizer via SWD probe!
Take a broader look on your Zephyr application with a non-heavy, small footprint, Kconfig-only thread stats analyser.
To properly analyze your Zephyr app, your ELF binary must be compiled with specific Kconfig options enabled:
## prj.conf
CONFIG_INIT_STACKS=y # Required for stack watermarks
CONFIG_THREAD_MONITOR=y # Required for thread discovery
CONFIG_THREAD_STACK_INFO=y # Required for thread metadata
# Optional Features
CONFIG_THREAD_NAME=y # Enables thread name display
CONFIG_THREAD_RUNTIME_STATS=y # Enables CPU usage tracking
CONFIG_SYS_HEAP_RUNTIME_STATS=y # Enables heap runtime stats
Install ZView in your Python virtual environment:
# From the root of the zview repository
pip install -e .Or directly through pip:
pip install zviewzview -e build/zephyr/zephyr.elf -r runner -t runner_mcu_descriptorOn your project west environment, with your board flashed and probed, run:
west update zview
west zviewThis can be achieved by adding this snippet to your west manifest:
manifest:
projects:
- name: zview
path: tools/zview
revision: main
url: https://github.com/wkhadgar/zview| Argument | Description |
|---|---|
-e, --elf-file |
Path to the firmware .elf file. |
-r, --runner |
Manually select jlink or pyocd. |
-t, --runner-target |
MCU descriptor name, as used by the choosen runner. |
--period |
Update period in seconds, can be float. |
ZView achieves a minimal footprint by avoiding on-target processing or UART/Shell output. It utilizes the debug probe's ability to read memory via the APB bus without halting the CPU. By parsing the ELF file, ZView identifies kernel object locations and performs analysis of stack watermarks and CPU usage.
Note
The idle thread is implicit and only express itself on the used CPU %, when available.
ZView acts as a TUI. Navigate with UP and DOWN arrows from the default view:
- ENTER: Track CPU usage for a specific thread (hit ENTER again to return).
- S / I: Sort the data and Invert the sorting order.
- H: Access the Heap Runtime visualization.
Based on community feedback, the following features are in development:
- Detailed thread metrics (e.g., context switch counts).
- Live global variables tracking
Also, Feel free to open an issue if you feel like this has some potential!


