GlycoLeap
Owlet glucose widget
DIABASS
SiDiary
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Glucosio
Glucmon
GNU Gluco Control (ggc) is a Java (Open Source) application that helps you manage your diabetes.

Exercise dataset for fitness apps: transparent background, animations, no subscription

Website, pricing, platforms and company facts side by side.
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GNU
GNU Gluco Control
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| Website | ggc.sourceforge.net | repdb.co |
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| Platforms | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of GNU Gluco Control yet.
RepDB is a one-time-purchase exercise dataset with animations for developers building fitness and workout apps — not a subscription, not a rate-limited API. You download the data once and own it: JSON (and SQLite on the higher tier), WebP images, and full EN/DE/ES translations, with no...
What each product offers, as listed by its team.

Possible disadvantages
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As answered by people managing GNU Gluco Control and RepDB.
RepDB's answer:
RepDB is sold as a one-time download, not a metered API — you own the JSON/SQLite data and WebP images outright, with no rate limits, no per-request billing, and no risk of the vendor cutting off access. It's also the only dataset in this space with EN/DE/ES translations, transparent (alpha-channel) images with no watermark, muscle-group highlighting, safety/goal tags, and looping animations on the higher tier.
RepDB's answer:
RepDB grew out of a consumer workout app its creator was building solo. Sourcing exercise images and data meant either paying for a subscription API with usage caps and no caching rights, or producing everything from scratch. The illustrated, multi-language dataset was built for us first, then split out as its own product once it became clear other indie developers had the same problem and preferred to buy the data outright rather than rent it through an API.
RepDB's answer:
Most alternatives are subscription APIs — you pay monthly, you're capped on requests, and ExerciseDB's terms of use explicitly forbid caching or storing the data at all, so every image render is a live paid API call. RepDB is the opposite: pay once, download the files, self-host with zero ongoing dependency. It's also the only option offering true DE/ES localization and transparent images instead of a white box behind every exercise.
RepDB's answer:
Solo developers and small teams building fitness or workout-tracking apps (iOS, Android, web) who need licensed exercise images and structured exercise data, but don't want to build their own media pipeline or depend on a rate-limited third-party API.
Share your experience with using GNU Gluco Control and RepDB. For example, how are they different and which one is better?
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