autodiag is an open-source project built for developers and automotive engineers.

Does autodiag have a free plan?

Yes — autodiag is open source under the MIT license and free to use.

What platforms does autodiag run on?

autodiag runs on the command line and API.

Is autodiag still maintained?

The GitHub repository shows 12 commits in the last 90 days.

What projects are similar to autodiag?

Similar projects tracked by PulseGate include EfficiencyNext Data Connector, CKB, and GITVERSE.

Who develops autodiag?

autodiag is developed by Lucianoon.

When did autodiag launch?

autodiag first shipped in 2024.

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autodiag

Name: autodiag
Author: Lucianoon

PyPIInfrastructure

Autodiag is an open-source Python package that provides universal OBD2 diagnostics for vehicles from 2015 and newer. It supports reading diagnostic trouble codes (DTCs), communicating via ELM327 adapters and CAN bus, and is licensed under MIT. The tool is intended for developers building automotive applications or performing vehicle diagnostics programmatically.

Open SourceMITCLIAPI

Visit PyPI

Overview

4 features

autodiag sits in PulseGate's Developer Tools category. It focuses on accessing and interpreting OBD2 diagnostic data from modern vehicles without proprietary tools. autodiag is an open-source project aimed at developers and automotive engineers. The project is open source (MIT). It runs on the command line and API.

Lucianoon builds and maintains autodiag, and it first shipped in 2024. Development happens publicly on GitHub with 12 commits in the last 90 days. Key capabilities include OBD2 Diagnostics, DTC Reading, and ELM327 Support.

Summary written by a language model from the project’s public pages.

OBD2 Diagnostics
DTC Reading
ELM327 Support
CAN Bus

Built with & integrations

Framework

FastAPI

AI providers

anthropic

Runs on

CLIAPI-only

Trust & compliance

License

MIT

Verified signals

HTTPSOpen Source GitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed24 Jul · 12:40 UTC
autodiag verified against its public source
Source: PulseGate · Open

Frequently asked questions about autodiag

What is autodiag?: Autodiag focuses on accessing and interpreting OBD2 diagnostic data from modern vehicles without proprietary tools. It is catalogued under Developer Tools on PulseGate.
Who is autodiag for?: autodiag is an open-source project built for developers and automotive engineers.
Does autodiag have a free plan?: Yes — autodiag is open source under the MIT license and free to use.
What platforms does autodiag run on?: autodiag runs on the command line and API.
Is autodiag still maintained?: The GitHub repository shows 12 commits in the last 90 days.
What projects are similar to autodiag?: Similar projects tracked by PulseGate include EfficiencyNext Data Connector, CKB, and GITVERSE.EfficiencyNext Data Connector CKB GITVERSE
Who develops autodiag?: autodiag is developed by Lucianoon.
When did autodiag launch?: autodiag first shipped in 2024.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: developers and automotive engineers
Model: Open source
Solves: Accessing and interpreting OBD2 diagnostic data from modern vehicles without proprietary tools.

Registered as

GitHub: lucianoon/autodiag
PyPI: autodiag

Developer

Lucianoon

Small team

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 23 Jul 2026
Commits 90d: 12
Contributors: 2
Authorship: Small team
Default branch: main
Latest release: v0.1.0 · 23 Jul 2026

Live coverage

Identity confidence: Low · 64
Indexed: 24 Jul 2026
Lifecycle: Alive
Last seen: 24 Jul 2026

Identity audit (13)

Slug: autodiag-pypi-org
Lifecycle state recorded: 24 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 24 Jul 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 27 Jul 2026
Canonical URL: https://pypi.org/project/autodiag

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