esp-idf-diag
Diagnostic tool for ESP-IDF
Decision gist · record as of 2026-08-14
Yes. This is a lightweight, actively maintained diagnostic utility with no known vulnerabilities and permissive licensing. Install it if you develop with ESP-IDF and want to streamline bug reporting or troubleshooting. The low install friction and minimal dependencies make it a practical addition to any ESP-IDF workflow.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an activated ESP-IDF environment to run the create command.
- Low install friction with a pure-Python wheel and only two runtime dependencies (PyYAML and rich).
- Active maintenance with a recent release and no known vulnerabilities.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), which allows commercial and private use with minimal restrictions.
last release 2025-06-13 (427 days) · last repo commit 2026-06-08 · 2 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 410,476 downloads/mo, #6,864 on PyPI
Alternatives
Verify before relying
$ pip install esp-idf-diag
$ esp-idf-diag create
$ esp-idf-diag zip diag-UUID- Whether custom recipe YAML files can extend the default data collection beyond what is built-in.
- Performance characteristics when collecting diagnostics from large or complex ESP-IDF projects.
What it is and what it does
esp-idf-diag is a command-line diagnostic tool for the Espressif IoT Development Framework. It gathers information about the ESP-IDF environment, system configuration, and the current ESP-IDF project, organizing the collected data into a report directory. The tool is designed to help developers troubleshoot problems by automating the collection of relevant diagnostic information.
Data collection is managed through YAML-based recipes that specify which commands to run and capture. The tool includes automatic redaction of sensitive information (passwords, tokens in URLs) guided by a configurable purge file in YAML format. Once a report is generated, it can be compressed into a zip archive for easy sharing with maintainers or in GitHub issues. The tool supports Python 3.7 through 3.13 and runs on macOS, Windows, and POSIX systems.
Use it for
- Generate a diagnostic report when encountering build or runtime issues in an ESP-IDF project to share with the Espressif team.
- Collect system and environment information automatically before filing a bug report on GitHub.
- Create a redacted snapshot of your ESP-IDF setup for troubleshooting without exposing credentials or private paths.
- Archive diagnostic data from multiple development machines to compare configurations and identify environment-specific problems.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a lightweight, actively maintained diagnostic utility with no known vulnerabilities and permissive licensing. Install it if you develop with ESP-IDF and want to streamline bug reporting or troubleshooting. The low install friction and minimal dependencies make it a practical addition to any ESP-IDF workflow.
Install
esp-idf-diag on PyPI
Before you install
Low install friction with a pure-Python wheel and only two runtime dependencies (PyYAML and rich). Active maintenance with a recent release and no known vulnerabilities.
Requires an activated ESP-IDF environment to run the create command.
License in practice
Licensed under Apache Software License (permissive), which allows commercial and private use with minimal restrictions.
Quickstart
$ pip install esp-idf-diag
$ esp-idf-diag create
$ esp-idf-diag zip diag-UUID
Verify before relying
- Whether custom recipe YAML files can extend the default data collection beyond what is built-in.
- Performance characteristics when collecting diagnostics from large or complex ESP-IDF projects.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesPyYAMLrich |
| Maintenance | Actively maintained 427 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 410,476 / month, #6,864 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 :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Embedded Systems |
Evidence: esp_idf_diag-0.2.0-py3-none-any.whl
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