A football/soccer pass visualizer made with Three.js
I've been working on a football pass visualiser for the past week. It uses open data from StatsBomb to analyse and visualise passing patterns, allowing users to explore and filter the data by pass distance, team and players.
In plain words
This football pass visualizer uses Three.js to display passing patterns from StatsBomb's open dataset. It allows users to explore and filter passing data by distance, team, and individual players, making it useful for soccer analysts and enthusiasts wanting to understand team tactics and player performance through interactive 3D visualization.
written from the facts on this page · September 2026
Does the same job
all alternatives →- SFStatMilk - Football Stats Visualized2012 · statmilk.com · ▲85
Dinamo NotebookJun 2026 · github.com · ▲80Professional football/soccer analysis, right in your browser

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- I3Interactive 3D and 2D Visualization of GPT-2Mar 2026 · llm-visualized.com · ▲12
I’ve been building an interactive 3D + 2D visualization of GPT-2. It displays real activations and attention scores extracted from GPT-2 Small (124M) during a forward pass. The goal is to make it easier to learn how LLMs work by showing what is happening inside the model. The 3D part is built with Three.js, and the 2D part is built with plain HTML/CSS/JS. Would love to hear your thoughts or feedback!
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Many years ago, I made VJ softwares (to mix live visuals in clubs) for unexpected platforms like the Game Boy Advance, the Playstation 2 and the Raspberry Pi. This year, I’m back with a new web-app: Pikimov. Inspired by Photopea (a free Photoshop clone), I created this web-based motion design & video editor as an alternative to After Effects, to fill empty void. It's free, without signup, without cloud uploads (your files stay on your machine), and your projects are not used for AI models training.
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