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title: Telemetry Analysis Dashboard
emoji: 📈
colorFrom: indigo
colorTo: gray
sdk: docker
pinned: false
tags:
- telemetry
- assetto-corsa
- motorsport
- data-visualization
- dash
- plotly
- time-series
short_description: Assetto Corsa telemetry explorer dashboard.
---
# AC Telemetry Analysis — Demo Dashboard
Interactive dashboard for exploring Assetto Corsa telemetry sessions recorded by **[AC-Datalogger](https://github.com/nasim-raj-laskar/AC-Datalogger/tree/main)** — a high-frequency telemetry logger that reads directly from the game's Windows shared memory interface.
This Space ships with two pre-recorded demo sessions so you can explore the dashboard without running the logger yourself.
---
## What you're looking at
AC-Datalogger polls Assetto Corsa's shared memory (`acpmf_physics`, `acpmf_graphic`, `acpmf_static`) at ~65Hz and writes every sample to a session folder as Parquet + JSON. This dashboard loads those sessions and lets you explore 83 telemetry channels across five tabs:
| Tab | Contents |
|---|---|
| Driver Inputs | Speed, pedals, gear & RPM, steering angle |
| Vehicle Dynamics | G-forces, angular rates, wheel slip, wheel load |
| Tyres | Pressure, core temp, surface temp, wear, brake temps |
| Aero / Misc | Ride height, turbo boost, environment temps, fuel, driver aids |
| Track Map | `pos_x`/`pos_z` trace coloured by any channel, with a position scrubber |
The Track Map renders the full lap trace coloured by a selectable channel (speed, throttle, brake, lateral G, longitudinal G). The scrub slider moves the car marker along the trace entirely in the browser via `Plotly.restyle` — no server round-trip.
---
## Record your own sessions
The logger runs on Windows alongside Assetto Corsa. No plugins or game modification required — just enable shared memory in AC settings and run the script.
```bash
# install
pip install pandas pyarrow pyyaml
# record a session (while AC is running)
python main.py
```
Full setup, configuration, and captured feature reference → **[AC-Datalogger on GitHub](https://github.com/nasim-raj-laskar/AC-Datalogger/tree/main)**
---
## Session data format
Each recorded session is a folder named `track_car_YYYYMMDD_HHMMSS/` containing:
```
session_info.json # car, track, max_rpm, max_fuel_kg, …
telemetry.parquet # 83-column DataFrame at ~65Hz
telemetry.csv # same data as CSV
```
`session_info.json` example:
```json
{
"car": "ferrari_458_gt2",
"track": "monza",
"track_configuration": "gp",
"max_rpm": 9000,
"max_fuel_kg": 120.0
}
```
To use your own sessions with this dashboard, drop the session folder into `sessions/` and restart.
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