hasaneyldrm

A comprehensive dataset of 433 fitness exercises. Each entry includes name, category, target muscle group, equipment, instructions, thumbnail image, and animation video.

28
2
100% credibility
Found Mar 18, 2026 at 28 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A dataset of 433 fitness exercises with details on names, categories, target muscles, equipment, instructions, images, and animation videos, provided for educational and non-commercial use only.

How It Works

1
🔍 Discover the dataset

While looking for workout ideas online, you find a free collection of hundreds of fitness exercises with pictures and videos.

2
📥 Download the collection

You grab the simple folder containing the full list of exercises, helpful descriptions, images, and short demo videos.

3
📋 Explore the exercise list

You open the main list to browse exercises by muscle group like chest or legs, equipment needed, and step-by-step instructions.

4
💪 Pick your favorites

You select exercises that match your goals, like bodyweight moves or ones using dumbbells, and note the target muscles.

5
🎥 Watch and learn form

You play the animation videos and view images to see exactly how each move is done safely and effectively.

🏆 Build your workout plan

With all this info, you create a personalized routine to get stronger and fitter right at home.

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Star Growth

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AI-Generated Review

What is exercises-dataset?

This is a comprehensive dataset packing 433 fitness exercises into a single JSON file, complete with names, categories, target muscles, equipment needs, instructions in English and Turkish, thumbnail images, and animation videos. It solves the hassle of scraping or curating exercise data for fitness apps, workout trackers, or ML models—devs get a ready-to-load resource with visuals for quick prototyping. No heavy frameworks needed; just parse the JSON in Python or JavaScript.

Why is it gaining traction?

Unlike sparse lists or paywalled APIs, this stands out with full media coverage—364 images and 372 videos—plus breakdowns by category like chest (51 exercises) or equipment like barbells (73). The bilingual instructions and stats on muscle groups make it a hook for global apps, while easy filtering by target or gear speeds up building features like personalized routines. It's a comprehensive exercises dataset with animation clips that devs grab for demos without starting from scratch.

Who should use this?

Fitness app builders needing quick exercise libraries for user-facing workout generators. ML devs training classifiers on exercise categories or form detection using the video assets. Indie trainers or content creators scripting routine planners without manual data entry.

Verdict

Grab it for non-commercial prototypes if you need a 433-exercise dataset fast, but the 1.0% credibility score, 28 stars, and strict no-commercial license flag it as early-stage—fine for hacks, but verify copyrights and expect basic docs before production. Solid starter, not a powerhouse yet.

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