The home baked data pipeline for Western Formula Racing
Project description
Slicks
The home baked 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
- Full Documentation
- Getting Started: Installation and your first script.
- API Reference: Detailed function documentation.
- Advanced Usage: Configuration, Discovery, and Bulk Exports.
Installation
Now available on PyPI!
pip install slicks
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-0.1.1.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-0.1.1.tar.gz.
File metadata
- Download URL: slicks-0.1.1.tar.gz
- Upload date:
- Size: 7.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ea8ba8bbe408233d48a840e934895f8361af403c87cf50094d340e00697d8197
|
|
| MD5 |
653c7eb49484af79ed96e3eaa9075c02
|
|
| BLAKE2b-256 |
0faddb0ad115562c6d6679cdacf510b616943bdf847bfb39ed524e91d69e6bf2
|
File details
Details for the file slicks-0.1.1-py3-none-any.whl.
File metadata
- Download URL: slicks-0.1.1-py3-none-any.whl
- Upload date:
- Size: 7.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
229817a3a6086effae4542bc6949f097ff80b6e3397ed9f7a5143d8302524fb3
|
|
| MD5 |
733cc5fb6129420c6036c8f8b535f73e
|
|
| BLAKE2b-256 |
20a2c7a064f1d8426a9c4ecacb358375de0e91fa317d0d060c8d61c417579733
|