Skip to main content

Memory usage visualiser for embedded applications

Project description

Overview

Nesiac is a terminal tool for visualising memory usage in embedded programs.

As an example when run on the STM32 "HID_Standalone" project for STM32H747I-DISCO board:

image

Installation

Nesiac may be installed with pip via:

python -m pip install nesiac

The nesiac executable will then be made available in your python executables directory, which should be on your path.

Usage

Nesiac requires two files to do its analysis:

  • An ELF file for section and symbol info
  • A map file (in GCC style) for memory region info

If Nesiac is given a single path as argument, that path should be a directory containing exactly one .elf and one .map file. In that case, Nesiac will use those files for analysis.

Alternatively those paths may be overriden with the -e,--elf-file and -m,--map-file arguments.

Exporting a map file from GCC may be enabled with the -Wl,-Map=<FILE> flag.

If you are using a linker that cannot generate GCC style map files, then you can provide a dummy map file with the region info in the correct format:

Memory Configuration

Name             Origin             Length             Attributes
FLASH            0x0000000008000000 0x0000000000100000 xr
RAM              0x0000000024000000 0x0000000000020000 xrw
ITCMRAM          0x0000000000000000 0x0000000000010000 xrw
*default*        0x0000000000000000 0xffffffffffffffff

Languages

Nesiac will demangle C++ and Rust symbols when it finds them.

image

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nesiac-0.4.3.tar.gz (7.8 kB view details)

Uploaded Source

Built Distribution

nesiac-0.4.3-py3-none-any.whl (10.1 kB view details)

Uploaded Python 3

File details

Details for the file nesiac-0.4.3.tar.gz.

File metadata

  • Download URL: nesiac-0.4.3.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.3 Windows/11

File hashes

Hashes for nesiac-0.4.3.tar.gz
Algorithm Hash digest
SHA256 65d350f45e99741c588f643dc10b1079357e9b28b748f23b485b93686395454e
MD5 29000061236da9c9340038e526f8155d
BLAKE2b-256 40d80ed956a950a1632463cd8ea1197815e09fe7d4e03525f5123925a7be42c4

See more details on using hashes here.

File details

Details for the file nesiac-0.4.3-py3-none-any.whl.

File metadata

  • Download URL: nesiac-0.4.3-py3-none-any.whl
  • Upload date:
  • Size: 10.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.3 Windows/11

File hashes

Hashes for nesiac-0.4.3-py3-none-any.whl
Algorithm Hash digest
SHA256 69e1b0e39775aa1bbb66690e3b650b26fbb4903e2d11caeb1d6be99168236da8
MD5 67d502fb4087ade4de9bd24b21862928
BLAKE2b-256 450abbd94d65ac488b347f82b8c85016856d51d84acbd168721fe9b035dabc87

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page