exercises-dataset
A dataset of 1,300+ exercises with scaffolding for fitness app developers, providing structured data, thumbnails, and animations to accelerate content generation.
Tool overview
The dataset contains over 1,300 exercises spanning strength, cardio, flexibility, and balance categories. Each entry includes the exercise name, classification labels, target muscle groups, required equipment, step-by-step textual instructions, along with a thumbnail image and an animation video. A setup wizard automatically generates database schemas, API code, and LLM prompt templates, removing much of the manual groundwork for building a fitness app.
Strengths: structured data ready for relational databases; multilingual support and multimedia assets improve end-user experience; open-source with high community engagement (6.5k+ stars) lowers integration risk. Weaknesses: the data has not been reviewed by exercise science experts; some instructions may be incomplete (e.g., missing weight or reps); animation videos carry unclear copyright, requiring clearance before commercial use.
Costs: all code and data are free to use, but media files are large and require self-hosted storage or a CDN, incurring ongoing operational expense.
Suitable for fitness app startups and AI researchers needing a large labeled dataset to prototype quickly.