Software Alternatives & Startups

RepDB VS Thanks (for Python)

Compare RepDB VS Thanks (for Python) and see what are their differences

RepDB logo RepDB

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

Thanks (for Python) logo Thanks (for Python)

A Python tool for giving back to the packages we use.
  • RepDB Standard exercise dataset
    Standard exercise dataset //
    2026-08-15
  • RepDB Starter tier
    Starter tier //
    2026-08-15
  • RepDB
    Image date //
    2026-09-07

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 per-request billing and no dependency on our servers staying up.

A free tier includes 600+ exercises with flat-style 512×512 images, attribution-licensed for commercial in-app use. The Starter tier ($299) adds the full catalog in classic white-background style. Standard ($499) adds transparent 1024px images, looping animations, exercise relations (similar/progressions/regressions), workout templates, and embeddings — exclusive to that tier.

Every exercise includes muscle-group highlighting, equipment/muscle icons, MET values, and safety/goal tags. Compared to GIF- or JPG-based competitor APIs, RepDB images are transparent WebP with no watermarks, so they drop into any app UI without a white box around them.

  • Thanks (for Python) Landing page
    Landing page //
    2023-09-16

RepDB

Website
repdb.co
$ Details
freemium $299 / One-off
Platforms
Web Mobile
Release Date
2026 July

Thanks (for Python)

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

RepDB features and specs

  • WebP Format Benefits
    start+peak exercise images
  • JSON
    relations, metadata, equipment
  • Transparency
    transparent background
  • Animations
    Animated loops in paid tier

Thanks (for Python) features and specs

No features have been listed yet.

Analysis of Thanks (for Python)

Overall verdict

  • Thanks is a lightweight, useful utility for Python developers who want to automatically credit open-source dependencies, making it a good niche tool though not a mainstream necessity.

Why this product is good

  • Automatically generates attribution and license acknowledgments for dependencies used in a project
  • Simple and easy to integrate into existing Python workflows
  • Encourages good open-source citizenship by crediting maintainers and libraries
  • Lightweight tool with minimal setup and configuration required
  • Open-source itself, allowing community contributions and transparency

Recommended for

  • Python developers who want to give proper credit to open-source library maintainers
  • Teams maintaining compliance or attribution requirements for open-source usage
  • Open-source project maintainers looking to foster a culture of appreciation
  • Developers building README or documentation sections crediting dependencies

Category Popularity

0-100% (relative to RepDB and Thanks (for Python))
Developer Tools
71 71%
29% 29
Crowdfunding
0 0%
100% 100
Health And Fitness
100 100%
0% 0
Static Assets
100 100%
0% 0

Questions & Answers

As answered by people managing RepDB and Thanks (for Python).

What makes your product unique?

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.

What's the story behind your product?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

User comments

Share your experience with using RepDB and Thanks (for Python). For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing RepDB and Thanks (for Python), you can also consider the following products