B03GHB4L1

B03GHB4L1 / ClipMaker

Public

Football highlight reel generator from match event data

15
10
100% credibility
Found Mar 09, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

ClipMaker is a browser-based app that automatically generates football highlight videos by cutting clips from match footage based on event data in a CSV file.

How It Works

1
🔍 Find ClipMaker

You hear about this fun tool that turns full football matches into exciting highlight videos automatically.

2
📥 Get the app

Download the ready-to-run package for your computer and open it up in your web browser with a simple launch.

3
📂 Pick your files

Browse to select your match video file and the list of events from the game in a simple data sheet.

4
Set game times
🔄
One video file

Use times from the full match video.

✂️
Two half videos

Handle separate files for first and second half.

5
⚙️ Choose highlights

Pick action types like shots or passes, or focus on the most thrilling moments to make your reel perfect.

6
▶️ Create the reel

Hit the button and watch the progress bar as it snips the best bits and stitches them into a highlight video.

🎉 Watch your highlights

Sit back and enjoy your custom football highlight reel, ready to share with friends.

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Star Growth

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AI-Generated Review

What is ClipMaker?

ClipMaker is a Python Streamlit app that turns football match event CSVs and video files into highlight reels, solving the hassle of manual editing for data-driven clips. Upload your CSV with timestamps, action types, and optional xT or progressive metrics, sync kick-off times from your video player, and it auto-cuts clips around key moments like shots or carries—outputting individual files or a single reel. It's a clip maker GitHub gem for football highlights, running locally in your browser on Windows or Mac.

Why is it gaining traction?

Unlike ClipMaker AI free tools or Panzoid ClipMaker intro editors that demand manual tweaks, this handles split half videos, merges overlapping events, and filters by xT thresholds, top N dangers, or progressive passes/carries for precise Bundesliga or 2. Bundesliga reels. Dry-run previews and live progress bars make iteration fast, with FFmpeg powering quick renders—no re-encoding slowdowns. Devs dig the no-setup UI over CLI football GitHub games scripts.

Who should use this?

Football data analysts scraping events for match reviews, coaches clipping football highlights today from streams, or Reddit posters curating free football highlights videos. Ideal for fans tracking 2052-style sim leagues or real Bundesliga action, if you have CSV data from trackers like StatsBomb.

Verdict

Try it for niche football highlights workflows—solid docs, prebuilt releases, and intuitive filters punch above 14 stars—but 1.0% credibility signals early maturity with no tests or broad adoption. Solid starter if your data fits; fork for custom tweaks.

(178 words)

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