esp-idf-size
Firmware size analysis for ESP-IDF
Decision gist · record as of 2026-08-14
Yes, if you develop with ESP-IDF. The tool is actively maintained, has no known vulnerabilities, and low install friction. It directly addresses a core IoT development problem—firmware size optimization. The recent 2.3.1 release and active maintenance signal reliability. Install it if you need to analyze or optimize Espressif device firmware; skip it if you don't work with ESP-IDF.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an ESP-IDF-built firmware binary (.elf file) to analyze; the tool itself does not generate binaries.
- Low install friction with pure Python distribution and minimal dependencies.
- Actively maintained with a release 1 day old, supporting Python 3.7 through 3.14.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 is permissive; you can use this in commercial and proprietary projects with minimal restriction beyond retaining license notices.
last release 2026-08-13 (1 days) · last repo commit 2026-08-13 · 15 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,301,295 downloads/mo, #4,084 on PyPI
Alternatives
Verify before relying
pip install esp-idf-size
from esp_idf_size import analyze
# Analyze a firmware binary
result = analyze('path/to/firmware.elf')- Whether the package can be used standalone or requires an active ESP-IDF SDK installation.
- What output formats are produced and how they differ between versions.
- Whether esp-pylib dependency brings additional system requirements.
- Specific device models supported beyond the Espressif ecosystem.
What it is and what it does
esp-idf-size is a firmware analysis tool for Espressif IoT devices that examines statically allocated RAM and binary size in compiled firmware images. It helps developers understand memory usage patterns and optimize their applications to fit within flash constraints—a critical concern in resource-constrained embedded systems. The tool is part of the ESP-IDF SDK but is also available as a standalone PyPI package.
As of version 2.0.0, the package uses a new-generation implementation by default, with improved performance and additional features. It depends on pyyaml for configuration, rich for terminal output formatting, rich_click for CLI handling, and esp-pylib for Espressif-specific utilities. The package supports Python 3.7 through 3.14 and runs on macOS, Windows, and POSIX systems.
Use it for
- Analyze compiled firmware binaries to identify which functions and data structures consume the most memory.
- Verify that firmware size stays within device flash memory limits after code changes or dependency updates.
- Profile static RAM allocation to optimize memory layout for resource-constrained IoT applications.
- Generate size reports in multiple formats (including JSON) for integration into CI/CD pipelines.
- Compare firmware size across different build configurations or compiler optimization levels.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you develop with ESP-IDF.
The tool is actively maintained, has no known vulnerabilities, and low install friction. It directly addresses a core IoT development problem—firmware size optimization. The recent 2.3.1 release and active maintenance signal reliability. Install it if you need to analyze or optimize Espressif device firmware; skip it if you don't work with ESP-IDF.
Install
esp-idf-size on PyPI
Before you install
Low install friction with pure Python distribution and minimal dependencies. Actively maintained with a release 1 day old, supporting Python 3.7 through 3.14.
Requires an ESP-IDF-built firmware binary (.elf file) to analyze; the tool itself does not generate binaries.
License in practice
Apache-2.0 is permissive; you can use this in commercial and proprietary projects with minimal restriction beyond retaining license notices.
Quickstart
pip install esp-idf-size
from esp_idf_size import analyze
# Analyze a firmware binary
result = analyze('path/to/firmware.elf')Verify before relying
- Whether the package can be used standalone or requires an active ESP-IDF SDK installation.
- What output formats are produced and how they differ between versions.
- Whether esp-pylib dependency brings additional system requirements.
- Specific device models supported beyond the Espressif ecosystem.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagespyyamlrichrich_clickesp-pylib |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,301,295 / month, #4,084 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIXProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Embedded Systems |
Evidence: esp_idf_size-2.3.1-py3-none-any.whl
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See also esp-idf-nvs-partition-gen · esp-idf-diag · membrowse · esp-idf-monitor · esp-idf-panic-decoder · esp-coredump · uefi-firmware · idf-component-manager · idf-build-apps