football-crunching VS SportsLabKit

Compare football-crunching vs SportsLabKit and see what are their differences.

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football-crunching SportsLabKit
1 5
305 203
- -
0.0 6.6
over 2 years ago 4 months ago
Jupyter Notebook Jupyter Notebook
- GNU General Public License v3.0 only
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.

football-crunching

Posts with mentions or reviews of football-crunching. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-21.

SportsLabKit

Posts with mentions or reviews of SportsLabKit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-21.

What are some alternatives?

When comparing football-crunching and SportsLabKit you can also consider the following projects:

open-data - Free football data from StatsBomb

HotShot - Repository with data visualizations and analysis of the NBA

CSGO-Pro-Gear-Performance-and-EDA - Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.

openbiomechanics - The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.

PRML - PRML algorithms implemented in Python

multi-object-tracking-in-python - 📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍

football_analytics - 📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

sports-analytics - Data collection, processing, visualization, modeling, and ideation in the space of sports analytics

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained