Fast-F1
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry (by theOehrly)
cheatsheets
Official Matplotlib cheat sheets (by matplotlib)
Our great sponsors
| Fast-F1 | cheatsheets | |
|---|---|---|
| 100 | 126 | |
| 2,186 | 7,238 | |
| - | 0.6% | |
| 8.9 | 7.0 | |
| 3 days ago | 5 days ago | |
| Python | Python | |
| MIT License | BSD 2-clause "Simplified" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Fast-F1
Posts with mentions or reviews of Fast-F1.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-26.
-
Consume Live Timing/Telemetry From API During Race
F1 broadcasts their live timing via the SignalR protocol. The endpoint itself is unauthenticated. You can look at FastF1’s implementation of the SignalR client and the respective endpoints which it connects to within the code documentation here FastF1 SignalR client
-
Does anyone know were I can find telemetry?
fastf1
- export data to python
- Where does he get this telemetry from? (Yelistener YouTube channel) I’ve been searching for a while but can’t come up with an answer.
-
What’s something you wish you had access to or could purchase to make your F1 experience more enjoyable or interactive?
This python api has telemetry data from 2018 https://github.com/theOehrly/Fast-F1
-
Lap times! #BahrainGP
The data comes from Fast-F1. I am building an app to create these visualizations live: https://overcut.app
- 2022 Bahrain Grand Prix Pole Lap Telemetry (Speed, Brake, Throttle, Elevation changes, Lateral and Longitudinal)
-
Is there an API for lap time and GPS data for IMSA?
Looking for something similar to what is available on the F1 side, and I didn't know if there was one. https://github.com/theOehrly/Fast-F1
- Overview of available F1 Data
- Where could I get technical data in F1?
cheatsheets
Posts with mentions or reviews of cheatsheets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-25.
-
Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Matplotlib - A Python 2D plotting library.
-
How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
Data visualization: utilizing Python's Matplotlib for visualizing order book information.
- Matplotlib
- Ask HN: What plotting tools should I invest in learning?
- Help with an array
-
Getting visual studio code to work with imported library
Name: matplotlib Version: 3.7.1 Summary: Python plotting package Home-page: https://matplotlib.org Author: John D. Hunter, Michael Droettboom Author-email: [email protected] License: PSFLocation: /home/huinker/.local/lib/python3.10/site-packages
-
PSA: You don't need fancy stuff to do good work.
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses without relying on expensive or proprietary software.
-
What else should I complete before applying for a data analyst role?
programming language: basic python, pandas, matplotlib -- you'll probably do these in school, but if not https://cs50.harvard.edu/python/2022/ https://matplotlib.org/
-
[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
-
[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
What are some alternatives?
When comparing Fast-F1 and cheatsheets you can also consider the following projects:
live-f1 - Native Linux client for the official Formula 1 Live Timing service. Git mirror.
finplot - Performant and effortless finance plotting for Python
F1PyStats - An open-source Python3 package that provides Formula 1 data to developers.
manim - A community-maintained Python framework for creating mathematical animations.
bpsci - 6DOF Dynamic Simulations for Blender with Python
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
joypy - Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:
Keras - Deep Learning for humans
PtitPrince - python version of raincloud
geogebra - GeoGebra apps (mirror)
3D-Kiviat - 3-dimensional version of the Kiviat or Spyder plot
OpenCV - Open Source Computer Vision Library