Generic Basketball Shot Charts
☆61Sep 18, 2015Updated 11 years ago
Alternatives and similar repositories for d3.basketball-shot-chart
Users that are interested in d3.basketball-shot-chart are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- R package for European basketball data.☆18Dec 9, 2017Updated 8 years ago
- A d3 plugin for visualizing NBA and other basketball shot data☆25Dec 23, 2016Updated 9 years ago
- How to parse play by play☆15Dec 15, 2020Updated 5 years ago
- A scraper to scrape the NBA API and compile a play by play file☆74Dec 8, 2022Updated 3 years ago
- Tools to extract and analyze basketball data from Spanish FEB leagues☆16Jan 29, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This is the repository for the API backend of theseventhman.net☆10Dec 8, 2022Updated 3 years ago
- ☆15Jan 21, 2018Updated 8 years ago
- Using machine learning to classify NBA players☆10Mar 4, 2021Updated 5 years ago
- Python Package for facilitating analysis of NBA Data☆269Nov 13, 2025Updated 10 months ago
- Watch a git repository, mirror it on a web server, and push to S3 with the appropriate commit message.☆17Apr 6, 2016Updated 10 years ago
- Using Selenium to web scrape Basketball-Reference.com☆11Mar 21, 2017Updated 9 years ago
- A package to parse NBA play by play pandas dataframes and calculate statistics☆16Dec 27, 2022Updated 3 years ago
- Populate a database with NBA shot data☆122Aug 19, 2023Updated 3 years ago
- Using k-means clustering to group NBA players by role☆13Apr 22, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆12Oct 31, 2020Updated 5 years ago
- Machine Learning the NFL Draft☆20Apr 20, 2016Updated 10 years ago
- Scripts for analyzing NBA sportvu motion data☆107Dec 31, 2025Updated 8 months ago
- Scripts for fetching, parsing and visualizing a single NHL game's data.☆10Aug 2, 2020Updated 6 years ago
- Unsupervised Machine Learning project for evaluating 2017-18 NBA player similarity☆13Sep 25, 2019Updated 6 years ago
- Code for extracting data from a large number of PDFs, particularly FCC political ad documents☆15Oct 26, 2017Updated 8 years ago
- ☆58Aug 25, 2016Updated 10 years ago
- ☆12Jun 22, 2015Updated 11 years ago
- Regulation playing surfaces for sports data visualization☆13Dec 17, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- An R package for working with NCAA Men's Basketball play-by-play data from STATS LLC's GameZone.☆19Apr 11, 2023Updated 3 years ago
- Model for computing the probability of each team winning a given matchup in the National Hockey League☆16Mar 15, 2019Updated 7 years ago
- Basketball Scrapper + Reporting Tool for FEB teams☆32May 22, 2023Updated 3 years ago
- A package to query and calculate MLB offensive performance statistics☆14Apr 11, 2016Updated 10 years ago
- R package for obtaining and analyzing basketball data from the Euroleague☆32May 4, 2023Updated 3 years ago
- All data, code, and graphics from my Research Notebook series at The Hardball Times☆11Feb 17, 2018Updated 8 years ago
- Python client for NBA statistics located at stats.nba.com☆1,061Feb 19, 2020Updated 6 years ago
- ☆15Sep 15, 2017Updated 9 years ago
- Free open public domain National Football League (NFL) database 'n' schema for use in any (programming) language e.g. uses plain text dat…☆17Jan 22, 2014Updated 12 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆14Jul 19, 2022Updated 4 years ago
- Dash app visualizing StatsBomb's FIFA World Cup 2018 data.☆14Feb 2, 2024Updated 2 years ago
- Application for generating college football score and win probability predictions using neural networks☆13Dec 21, 2017Updated 8 years ago
- NBA shot charts using matplotlib, seaborn, and bokeh.☆173Jun 3, 2017Updated 9 years ago
- ☆12Oct 19, 2018Updated 7 years ago
- Notes for map session with Tom MacWright (@tmcw) at NICAR14.☆21Mar 2, 2014Updated 12 years ago
- A boilerplate for embeddable graphics.☆17Aug 3, 2016Updated 10 years ago