Kind
k3s
Helm.sh
Kubernetes
minikube
Kontena Lens
k3sup
Istio
RepDB
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.
Kind RepDBRepDB'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, Kind seems to be more popular. It has been mentiond 117 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.
Runs end-to-end on a local multi-node kind Cluster and in CI on GitHub's free runners. Total cost: $0. - Source: dev.to / 4 days ago
Kind โ recommended. Creates a cluster using kind. Requires the containerd image store. Locally built images must be explicitly loaded into the cluster with kind load docker-image before Kubernetes can use them. - Source: dev.to / about 2 months ago
What we need is a way to bootstrap a Kubernetes Cluster itself. Being in a docker-like environment the best option is a Kubernetes in Docker solution, Such as KinD or K3s. Both are available in Daggerverse and can be installed as external module to be reused. - Source: dev.to / 3 months ago
# .github/workflows/test.yml Name: Testes de integraรงรฃo On: [push, pull_request] Jobs: test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Instalar kind e kubectl run: | curl -Lo ./kind https://kind.sigs.k8s.io/dl/v0.23.0/kind-linux-amd64 chmod +x ./kind && sudo mv ./kind /usr/local/bin/kind curl -LO... - Source: dev.to / 3 months ago
Before landing on the base image approach, my first assumption was that the Kubernetes cluster setup was the bottleneck - we use kind to run dependencies like PostgreSQL and NATS. I replaced kind with k3s. It saved 1โ2 minutes, but nothing significant on its own. - Source: dev.to / 4 months ago
k3s - K3s is a lightweight Kubernetes distribution by Rancher Labs intended for IoT, Edge, and cloud deployments.
Helm.sh - The Kubernetes Package Manager
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
minikube - Run Kubernetes locally. Contribute to kubernetes/minikube development by creating an account on GitHub.
Kontena Lens - Kontena Lens is an open-source desktop application that comes with a reliable way to manage and monitor Kubernetes clusters.
k3sup - from Zero to KUBECONFIG in < 1 min ๐. Contribute to alexellis/k3sup development by creating an account on GitHub.