Western Formula Racing Telemetry & Data Pipeline Tools
Project description
Slicks
The official Python data pipeline for Western Formula Racing.
This package handles:
- Data Ingestion: Reliable fetching from InfluxDB 3.0.
- Movement Detection: Smart filtering of "Moving" vs "Idle" car states.
- Sensor Discovery: Tools to explore available sensors on any given race day.
Documentation
- Getting Started: Installation and your first script.
- API Reference: Detailed function documentation.
- Advanced Usage: Configuration, Discovery, and Bulk Exports.
Installation
pip install git+https://github.com/Western-Formula-Racing/wfr-telemetry.git
Quick Example
import slicks as wfr
from datetime import datetime
# 1. Connect (Auto-configured or custom)
wfr.configure(db="WFR25")
# 2. Fetch Data (One-liner)
df = wfr.fetch_telemetry(
datetime(2025, 9, 28),
datetime(2025, 9, 30),
"INV_Motor_Speed"
)
print(df.describe())
See Getting Started for more details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
slicks-0.1.0.tar.gz
(7.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file slicks-0.1.0.tar.gz.
File metadata
- Download URL: slicks-0.1.0.tar.gz
- Upload date:
- Size: 7.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c5a3104ab82c759a989870835e319d72dc5efc3e3273d5a96391a3129459379a
|
|
| MD5 |
bdd2a56211e2865396792289c038e26b
|
|
| BLAKE2b-256 |
6e1ba70ffa1618541ded51c29673808954487514ab5201a2cef11314723ae3d7
|
File details
Details for the file slicks-0.1.0-py3-none-any.whl.
File metadata
- Download URL: slicks-0.1.0-py3-none-any.whl
- Upload date:
- Size: 7.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9f4c311234940b44165cba14fbad72ea31e63917b24369edbfdbe2a51659dd8
|
|
| MD5 |
3e3297e15ece606f4b5b6edba1592df5
|
|
| BLAKE2b-256 |
2d70c81634ed1ccccffb38bac5c48473c74b069c5d219409d6959c3aa43370db
|