odxtools
Utilities to work with the ODX standard for automotive diagnostics
Decision gist · record as of 2026-08-14
Yes. odxtools is actively maintained, has no known vulnerabilities, installs with low friction, and is MIT-licensed. It fills a specific niche in automotive diagnostics—if you work with ODX files or need to encode/decode UDS diagnostic messages for vehicle ECUs, this is the right tool. If your work does not involve automotive diagnostics or ODX, it is not relevant.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- ODX/PDX files must be available to load.
- Low friction: pure Python wheel with no compiled dependencies.
License · maintenance · safety
MIT (permissive) — MIT license (permissive). You can use, modify, and distribute odxtools freely in commercial and private projects with minimal restrictions.
last release 2026-07-29 (16 days) · last repo commit 2026-08-12 · 309 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 868,473 downloads/mo, #4,851 on PyPI
Alternatives
Verify before relying
import odxtools
db = odxtools.load_pdx_file("somersault.pdx")
ecu = db.ecus.somersault_lazy
raw_request = ecu.services.session_start()
print(f"Request: {raw_request.hex()}")- Whether the package's command-line tools (list, browse, snoop, find, decode, compare) are production-ready or aspirational.
- Performance characteristics when processing large or complex ODX databases.
- Whether non-strict mode is suitable for production use or intended only for development/debugging.
What it is and what it does
odxtools is a Python library for working with ODX (Open Diagnostic data eXchange), an XML-based standard for describing the diagnostic capabilities of automotive electronic control units. It reads ODX/PDX files and provides a programmatic interface to encode diagnostic requests and decode responses, bridging the gap between the machine-readable ODX specification and Python code that interacts with vehicle ECUs over CAN, DoIP, or other automotive buses.
The package is designed for automotive developers, diagnostics engineers, and researchers who need to prototype diagnostic functionality, implement workshop servicing tools, or analyze diagnostic sessions. It handles the low-level details of message encoding/decoding according to the ODX specification, so you can work with diagnostic services at a higher level—calling methods like `ecu.services.session_start()` and receiving structured parameter dictionaries from decoded responses. It includes both a Python API and command-line tools for inspection and debugging of ODX databases.
Use it for
- Prototype development: interact with vehicle ECU diagnostic services directly from Python by encoding/decoding CAN messages according to ODX specifications.
- End-of-production quality control: automate initial setup and self-diagnosis routines for newly manufactured vehicles.
- Workshop servicing: implement diagnostic test schedules and manufacturer-specific diagnostic routines for after-sales support.
- Diagnostic session analysis: parse and decode third-party diagnostic logs to understand what services were called and what parameters were exchanged.
- Code generation: use ODX metadata to generate diagnostic glue code for lower-level languages like C++ or Rust.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
odxtools is actively maintained, has no known vulnerabilities, installs with low friction, and is MIT-licensed. It fills a specific niche in automotive diagnostics—if you work with ODX files or need to encode/decode UDS diagnostic messages for vehicle ECUs, this is the right tool. If your work does not involve automotive diagnostics or ODX, it is not relevant.
Install
odxtools on PyPI
Before you install
Low friction: pure Python wheel with no compiled dependencies. Active maintenance—last commit 2026-08-12, released 2026-07-29. Supports Python 3.10 through 3.14.
Requires Python 3.10 or later. ODX/PDX files must be available to load.
License in practice
MIT license (permissive). You can use, modify, and distribute odxtools freely in commercial and private projects with minimal restrictions.
Quickstart
import odxtools
db = odxtools.load_pdx_file("somersault.pdx")
ecu = db.ecus.somersault_lazy
raw_request = ecu.services.session_start()
print(f"Request: {raw_request.hex()}")
Verify before relying
- Whether the package's command-line tools (list, browse, snoop, find, decode, compare) are production-ready or aspirational.
- Performance characteristics when processing large or complex ODX databases.
- Whether non-strict mode is suitable for production use or intended only for development/debugging.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 10 packagesbitstructargparse_addonsjinja2python-canmarkdownifydeprecationpackagingrichtyping_extensionsbincopy |
| Maintenance | Actively maintained 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 868,473 / month, #4,851 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 :: MIT LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: odxtools-11.4.2-py3-none-any.whl
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