digiKam
XnView MP
Photos on macOS
Shotwell
Darktable
Adobe Lightroom
ACDSee Photo Studio
IrfanView
RepDB
digiKam is an advanced open-source digital photo management application that runs on Linux, Windows, and MacOS. The application provides a comprehensive set of tools for importing, managing, editing, and sharing photos and raw files.
RepDB is a one-time-purchase exercise dataset for developers building fitness and workout apps โ 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 400 exercises with flat-style 512ร512 images, attribution-licensed for commercial in-app use. The Starter tier ($199) adds the full catalog in classic white-background style. Standard ($399) adds transparent 1024px images, looping animations, exercise relations (similar/progressions/regressions), workout templates, and embeddings โ 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.
digiKam RepDBdigiKam is ideal for professional photographers, photo enthusiasts, and anyone needing a comprehensive tool for organizing and editing large collections of images. It's especially suited for users who prefer open-source software and require advanced management capabilities for their photo libraries.
RepDB's answer:
RepDB is sold as a one-time download, not a metered API โ 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 โ 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.
Based on our record, digiKam seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Digikam seems ideal for this https://digikam.org/. - Source: Hacker News / about 3 years ago
I have all of my photos (with the exception of smartphone photos... ugh) in a nicely constructed set of folders \photos\yyyy\yyyymmmdd\ then the folder made by the camera, etc. I've got a small python script to generate the folders. I use Digikam[1] to do facial recognition and tagging on them. It's finally gotten to the point where it doesn't crash all the time writing metadata, and the facial recognition is... - Source: Hacker News / about 3 years ago
I use digikam for my own personal library. Iโm not sure if itโs able to be run from a server, but I know you can hook up a NAS to it to manage it. Can tag photos, rank, organize, etc. Source: over 3 years ago
Check out digiKam. It has photo editing tools as well, but the main focus is photo management. Also it is free and open source. Source: about 4 years ago
But with that many photos, I'd suggest a more fully featured digital asset management (DAM) program. Lightroom (paid), DigiKam, or DarkTable (both free) are good choices. PhoTool's IMatch (paid) also uses exiftool and is extremely powerful with regards to metadata. Source: over 4 years ago
XnView MP - XnView is a free software that allows you to view, resize and edit your images. It supports more than 500 different formats!
Photos on macOS - Photos keeps your images organized and accessible. Rediscover favorite shots with Memories. Access them on your devices with iCloud Photos.
Shotwell - Shotwell is an open source photo organizer designed for the GNOME desktop environment.
Darktable - darktable is an open source photography workflow application and raw developer.
Adobe Lightroom - Adobe Lightroom is a family of image organization and image manipulation software.
ACDSee Photo Studio - ACDSee becomes ACDSee Photo Studio โ ACDSee Photo Studio Standard 2018 continues the ACDSee legacy
