Case study

Ha-Kake: decoding Nissan Leaf CAN signals for a telemetry dashboard

Ha-Kake documents how Nissan Leaf CAN and OBD-II signals were identified and decoded for a local vehicle dashboard. The repository pairs signal byte tables and an eight-chapter investigation guide with a Python reader, vehicle profiles, replay tools and a simulator.

Targets: Protocol
Category: Independent reconstruction cases
Relationship: Independent reconstruction project
Sources reviewed: 2026-11-06
Evidence class: C2 code & docs, no demo or download

Stars: 17
Last commit: 2026-11-07
Language: Python
License (GitHub): AGPL-3.0

GitHub data as of 2026-11-10

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Evidence

Observed: Code, documentation and a demo observed; no download method found.
Checked: 2026-11-09

How evidence classes are assigned

Requirements & limits

Prerequisites: A laptop and an ELM327 BLE or USB adapter for live vehicle readings.
Limits: The author reports use on a 2012 Nissan Leaf and a 2009 Mitsubishi Lancer; some Leaf decodes are tentative.
License: AGPL-3.0-or-later.

Cite

BibTeX

@misc{ha-kake-leaf-can-case,
  title = {{Ha-Kake: decoding Nissan Leaf CAN signals for a telemetry dashboard}},
  howpublished = {\url{https://github.com/davidkarnowski/Ha-Kake}},
  url = {https://github.com/davidkarnowski/Ha-Kake},
  urldate = {2026-11-06},
  note = {Awesome REA entry: \url{https://awesomerea.org/resources/ha-kake-leaf-can-case/}}
}

Plain text

Ha-Kake: decoding Nissan Leaf CAN signals for a telemetry dashboard. https://github.com/davidkarnowski/Ha-Kake (accessed 2026-11-06). Awesome REA entry: https://awesomerea.org/resources/ha-kake-leaf-can-case/

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About this entry

The description was reviewed against primary sources.

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Primary sources

docs/reverse-engineering/00-index.md GitHub · davidkarnowski/Ha-Kake · Revision 2312f0a
README.md GitHub · davidkarnowski/Ha-Kake · Revision 2312f0a
pyproject.toml GitHub · davidkarnowski/Ha-Kake · Revision 2312f0a