Self-Hosted Tesla Data Logging: A Developer's Guide to TeslaMate and the DIY Telemetry Stack
Tesla doesn't give owners a clean data export. So developers built their own, and the tooling has quietly matured into something worth your attention.
If you drive a Tesla and care about battery degradation, charging efficiency, or just where your car has been, the first-party app gives you almost nothing useful. No CSV exports, no historical trends, no API you can query. That gap created an ecosystem of third-party logging tools, and the most capable of them is TeslaMate — an open-source, self-hosted platform that pulls data from Tesla's API and stores it in PostgreSQL, with Grafana dashboards for visualization. Its latest release, v1.29.2, signals that the project has reached a level of maturity that makes it genuinely practical for developers who want full control of their vehicle telemetry.
What TeslaMate Actually Does
TeslaMate is an Elixir application that polls Tesla's API at regular intervals, captures telemetry — location, speed, battery state, climate settings, charging sessions — and writes it all to a PostgreSQL database. Grafana sits on top for dashboards. You deploy the whole stack via Docker Compose, typically on a Raspberry Pi, a NAS, or a small cloud instance.
What makes it interesting for developers isn't the dashboards themselves (though they're well-designed). It's that your vehicle data lands in a standard relational database you own. Want to correlate charging efficiency with ambient temperature? Write a SQL query. Want to feed driving patterns into a machine learning model? Export the tables. Want to build a custom notification system when battery health drops below a threshold? Hook into the data however you like.
The project has been around for several years, but the recent v1.29.2 release, tracked on GitHub, includes a notable architectural change: dynamic endpoints and token support for Tesla's official API, whether self-hosted or via a third-party provider. This matters because Tesla has been tightening API access, and TeslaMate now handles rate limiting more gracefully — respecting the Retry-After header on 429 responses instead of hammering the endpoint.
Setting Up the Stack
The deployment is straightforward if you've touched Docker before. The canonical setup is a docker-compose.yml pulling three containers: TeslaMate itself, PostgreSQL 16, and Grafana 11.0.0. The v1.29.2 release upgraded both dependencies, as noted in its release changelog, though upgrading an existing instance to PostgreSQL 16 requires following a manual migration path.
Authentication works through Tesla's OAuth flow. You generate a token, TeslaMate uses it to poll the Fleet API, and your data starts flowing. The dynamic endpoint support in the latest release means you're no longer locked to a single API proxy — you can point TeslaMate at Tesla's official servers or a third-party token provider, depending on your setup.
For developers running this on a home server, the resource footprint is modest. A Raspberry Pi 4 handles it fine for a single vehicle. The PostgreSQL database grows slowly — a year of driving typically produces a few hundred megabytes of data, manageable on even constrained storage.
What You Get in the Database
The schema captures more than most owners realize Tesla's API exposes: odometer readings, rated vs. ideal range, usable battery level (important for LFP battery packs), inside and outside temperature, tire pressure, sentry mode events, software update history, and granular charging curves. The Grafana dashboards that ship with TeslaMate include projected range calculations using usable_battery_level rather than the displayed percentage, which gives a more honest picture of real-world range.
The v1.29.2 release also integrated LFP-specific dashboards into the standard dashboard set, a practical improvement given that most current Tesla models ship with lithium iron phosphate batteries.
Why Self-Hosting Matters More Now
The case for self-hosted logging has strengthened as Tesla's relationship with its customers has grown more transactional. As we previously reported, Tesla discontinued its Autopilot package in early 2026, forcing owners into a $99/month Full Self-Driving subscription for basic lane-keeping features. That move transformed a one-time $3,000 purchase into a $1,200 annual commitment.
When a company starts monetizing features that were previously standard, owning your own data becomes less of a hobby and more of a hedge. If Tesla decides tomorrow that historical trip data or battery health reports belong behind a subscription wall, owners running TeslaMate already have that data in their own PostgreSQL instance.
There's also a privacy dimension. Third-party cloud services like TezLab — which TechCrunch profiled back in 2019 as a "Fitbit for Tesla vehicles" — offer similar insights but require sending your location history and driving patterns to someone else's servers. TezLab's model, as TechCrunch described it, was built around crowdsourcing data and eventually monetizing the aggregated fleet insights. That's a reasonable business model, but it means your data serves their goals too. Self-hosting eliminates that tradeoff entirely.
The Developer Opportunity
For developers specifically, TeslaMate's real value is as infrastructure, not as a finished product. The PostgreSQL backend means you can build on top of it with any language or framework.
Some practical projects worth considering:
Battery degradation tracking. Tesla's app shows you current range. TeslaMate gives you every battery reading over time. Plot rated_battery_range_km against odometer readings and you get a degradation curve that tells you whether your battery is aging normally or needs attention.
Charging cost optimization. If you log your electricity rates alongside TeslaMate's charging session data, you can calculate actual cost-per-mile and identify whether your charging habits are costing you more than they should.
Fleet management. For small businesses running multiple Teslas, TeslaMate supports multi-vehicle logging. Combined with Grafana alerts, you can monitor charging compliance, detect unusual driving patterns, or track total cost of ownership across the fleet.
Data portability. If you ever sell the car, switch brands, or just want to compare against another EV, your data is in PostgreSQL. Export it, transform it, archive it. It's yours.
The TeslaFi Import Path
If you've been using TeslaFi (a popular cloud-based logging service) and want to migrate, the v1.29.2 release updated the TeslaFi importer to accept newer export formats. This lowers the barrier for developers who want to transition from cloud-hosted logging to self-hosted without losing historical data.
What's Still Missing
TeslaMate isn't perfect. The project depends entirely on Tesla's unofficial API access patterns, which means any change Tesla makes to authentication or rate limiting can break things. The v1.29.2 release's rate-limit improvements help, but they're a mitigation, not a guarantee. Tesla has shown willingness to restrict third-party access when it suits them.
There's also no native mobile app. You access dashboards through Grafana's web interface, which works fine on a phone browser but isn't the polished experience you get from TezLab or Tesla's own app. For developers, this is a feature — Grafana is endlessly customizable. For non-technical users, it's a barrier.
Documentation has improved but still assumes comfort with Docker, environment variables, and basic database administration. The project's GitHub community is active and helpful, but this isn't a plug-and-play consumer product.
The Bigger Picture
The Tesla data logging ecosystem reflects a broader pattern in how developers respond when manufacturers restrict access to the products people have already paid for. Tesla sells hardware that generates enormous amounts of telemetry, then keeps most of it locked behind an opaque app. TeslaMate exists because developers decided that wasn't acceptable.
As Tesla continues pushing toward subscription revenue — and as the broader auto industry follows — self-hosted telemetry tools will likely become more important, not less. The developers building and maintaining TeslaMate are doing the work that Tesla's own software team probably should have done years ago: giving owners a real, queryable record of their vehicle's life.
If you drive a Tesla and know your way around a terminal, TeslaMate v1.29.2 is worth an afternoon of setup. Your future self, wondering whether that battery degradation is normal three years from now, will thank you.
