Skip to main content

wallmonitor

A local-only companion for the Tesla Wall Connector Gen 3 that grew well beyond reading data off the charger: it records everything the device reports, turns that history into a thermal model fitted to your install, forecasts derates before they happen (with the charge-current cap that avoids them), watches for connector degradation with honest statistics, and pushes actionable warnings to your browser or phone.

Everything stays on your machine and your LAN: the only network traffic is HTTP GETs to the charger's local API, storage is a local SQLite file, and the web UI serves no external assets (no CDNs, fonts, or analytics).

Try it in 30 seconds

No hardware needed — demo mode runs a built-in charger simulator:

uvx wallmonitor --demo

Then open http://127.0.0.1:8480.

Against your real Wall Connector (find its IP in your router, or use the TeslaWallConnector_XXXXXX.local hostname; add --split-phase on a North American split-phase install):

uvx wallmonitor --host 192.168.1.50 --split-phase

All history lands in a single wallmonitor.db SQLite file — back up that one file and you have everything. For every option, and for running it as a systemd service on an always-on box, see Running wallmonitor.

At a glance

  • Full-fidelity recording — every response stored with its complete raw JSON
  • Live dashboard (SSE) with rolling charts, an active-alert banner, and a live derate-forecast chart: measured handle temperature against the model's projected plateau and the trip threshold, projection drawn forward so the predicted trip intercept is visible on the chart
  • Session review: energy, peak/average power, per-phase telemetry, drillable charts
  • Event timeline with range presets, category filters, and paging
  • Alert decoding and EVSE-state labels, each marked verified vs community-reported
  • Wi-Fi health history and connectivity events
  • Thermal derate forecast — a per-install fitted model predicts alert 40 live and suggests the highest current that avoids the 50% foldback
  • Automatic derate prevention — an optional daemon caps the vehicle's charge current through a least-privilege BLE pairing when the forecast firms up, and restores it once the risk clears
  • Degradation watch — ambient-corrected heat-rise trend with confidence intervals and a verified-baseline anchor, so "getting worse" is a statistical claim, not a vibe
  • Actionable notifications, local-only — browser push and LAN webhook/self-hosted ntfy for phones, with a systemd + Docker deploy recipe
  • Resilience: seamless restarts, downtime recorded as explicit gap events, sensor-glitch quarantine

Works out of the box — everything else is additive

The core needs nothing but the charger. Integrations are optional, degrade gracefully when absent, and the absence paths are covered by the test suite: without an ambient sensor the charger doubles as its own thermometer, with no webhook configured notifications are a tested no-op, and TeslaMate / ntfy / ESP32-BLE each plug into a generic interface (POST /api/ambient, a plain LAN webhook, a REST call) rather than being wired into the core.

Documentation

Page What's in it
Running wallmonitor Every option, systemd service install, tests
What gets recorded Recording fidelity, sessions, events, alert/EVSE label verification, resilience
Thermal model The derate forecast and the degradation watch, in full detail
Amp control Automatic derate prevention over BLE: design, guards, backtesting
Ambient sensing Garage sensors (Ecowitt or any JSON poster), placement, contamination checks, the TeslaMate car bridge
Notifications Browser push and self-hosted ntfy phone alerts
Measured charging efficiency What three cross-referenced meters say about wall-to-battery efficiency

Tests

uv run pytest

The suite runs the full pipeline against the simulator — polling, session detection, alert lifecycle, the web API, and the thermal model end to end.

License

MIT. Built on the tesla-wall-connector library (MIT, by Einar Bragi Hauksson).

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wallmonitor-0.1.0.tar.gz (78.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wallmonitor-0.1.0-py3-none-any.whl (83.7 kB view details)

Uploaded Python 3

File details

Details for the file wallmonitor-0.1.0.tar.gz.

File metadata

  • Download URL: wallmonitor-0.1.0.tar.gz
  • Upload date:
  • Size: 78.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for wallmonitor-0.1.0.tar.gz
Algorithm Hash digest
SHA256 e3e0d3e1eb31d020c50553c64728f97d4862758ad7d17e50231c9ef072e37a3c
MD5 4b25a9dc0eadda28ef3fc8e0682c7916
BLAKE2b-256 1714c1b4e314d63ea2b9562fc94ff40ce9119264fb290af664f29dfcc7f72426

See more details on using hashes here.

Provenance

The following attestation bundles were made for wallmonitor-0.1.0.tar.gz:

Publisher: publish.yml on zebraengine/wallmonitor

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file wallmonitor-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: wallmonitor-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 83.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for wallmonitor-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 71c58ee7ccfdea8c4c5e83ab4b8bcbe58622eab7d94cf519625a79a90e5b9ce3
MD5 5560f56fe39b83279978ade90c869acd
BLAKE2b-256 0ed551cfe9a26d9d1835e469a372d504575121853c9d23ffbf5594da98fd68cc

See more details on using hashes here.

Provenance

The following attestation bundles were made for wallmonitor-0.1.0-py3-none-any.whl:

Publisher: publish.yml on zebraengine/wallmonitor

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.5.0

2 files

0.4.0

2 files

0.3.0

2 files

0.2.0

2 files

This release

0.1.0 This release

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page