FigTree VS RepDB
Compare FigTree VS RepDB and see what are their differences
OpenAI-compatible API gateway for GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more. One key, one endpoint, one bill. Pay per token, no lock-in.
sponsored
FigTree
Inter 4.0
Typogram
Redacted Font
Google Fonts
Peak
Born
TreeView X
RepDB
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.
FigTree RepDBRepDB'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.
Based on our record, FigTree seems to be more popular. It has been mentiond 3 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.
Most published papers with phylogenies as a major result should include the tree in some form as part of the supplementary material. For just visualizing trees, I'd recommend something like FigTree, which is pretty straightforward and has a nice interface (though limited ability to actually do much with them). It should be able to read files with .tre, .nexus, or .newick extensions (the latter of which is just the... Source: almost 3 years ago
Again, this is an overall about phylogeny, not knowing how your data looks like I would sugges futher reading, the programs commonly used are: PAUP, MEGA, PHYLIP, TREE-PUZZLE and MrBayes. Options are: FigTree, PRABI and BEAST. Source: over 3 years ago
Yes, because TRACER has nothing to do with the tree log file, and (almost) never records anything to do with the tree. First, locate the summary tree output file. This is produced by one of the following functions: consensusTree() mapTree(), mccTree(). Then make sure you have tree viewing software installed like figtree. Then open the summary tree file in your tree viewing software, and find the appropriate menu... Source: over 5 years ago
Inter 4.0 - Workhorse typeface crafted for a wide range of applications
Typogram - Try our beginner-friendly logo design tool for startups.
Redacted Font - Keep your wireframes free of distracting Lorem Ipsum
Google Fonts - Making the web more beautiful, fast, and open through great typography
Peak - Peak is the automated way to keep track of what everyone is working on.
Born - Crowdfunding for Beautiful Creations