App Screenshots vs Trackshund

Turn your screenshots into store-ready screenshots and auto localize in 30 languages! App Screenshots Studio drops your screenshots into device frames, then helps you build them into a clean, polished set ready for the App Store. Reach the world Build your screenshots once, then translate your captions into up to 30 languages in a tap. Each language becomes its own copy of your project, kept together in one folder, so you can check the wording, swap in localized screenshots, and export each set on its own. Update the translations after you edit the original, and tight captions are flagged so you know which ones to review. Make it your own •Captions in your choice of fonts, with full control over size, weight, alignment, and spacing •Solid colors, gradients, or your own images as backgrounds •Adjustable shadows with real depth and softness •Feature callouts •And more! Work the way you want Save your favorite mockups to reuse across projects. Keep every project, and every translated copy, organized and easy to find. Everything lives on your device. An optional account keeps your projects backed up and synced to any place this app is available. By downloading this app, you agree to Apple’s Standard License Agreement: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Trackshund offers the most elegant way to monitor your MLflow experiments—a native iOS client that transforms your training runs, metrics, and models into a delightful, intuitive experience, whether you’re on the couch, commuting, or between meetings. Simply connect Trackshund to your MLflow tracking server, and it seamlessly syncs all your experiment data to your phone. You can access your information anytime—even offline or underground, with no signal required. WATCH RUNS LIVE Watch your loss curve update in real time as your model trains. Key experiment metrics take center stage on your Home screen, updating automatically so you’re never stuck babysitting a browser tab. VISUALIZE EVERY METRIC Enjoy full, native charts for every logged metric—designed in a clear, luminous style that prioritizes clarity over decoration. COMPARE RUNS SIDE BY SIDE Use real comparison tables that highlight what changed and what stayed the same. Pin a baseline and instantly see each run’s delta—making progress clear at a glance. INTELLIGENT RUN BRIEFS Get a feed of plain-language insights for every completed run—spot new bests, re-runs, and results within the noise. With Apple Intelligence, enjoy AI-generated experiment summaries that sound like a colleague catching you up. GET ALERTED Choose exactly when your phone should notify you: when a run finishes or fails, crosses a threshold you set, changes sharply, or starts to look off. All notifications are processed securely on your device. MANAGE YOUR MODEL REGISTRY Browse registered models, versions, aliases, and tags—or register a new model directly from a run. BUILT FOR OFFLINE Everything you’ve browsed is securely cached on your device. Read, filter, and compare with zero connectivity—any edits you make are queued and sync automatically when you’re back online. The server remains the source of truth, and stale data is always clearly marked. BRING YOUR OWN SERVER Trackshund connects to any open-source MLflow tracking server—on your laptop, LAN, Tailscale network, or cloud VM. Username and password authentication are fully supported. MADE FOR ML PRACTITIONERS Designed for data scientists and researchers who live in MLflow, Trackshund brings that same reliability to your pocket—fast, native, and genuinely beautiful. It speaks MLflow’s exact vocabulary, so there’s nothing new to learn. Trackshund is an independent, unofficial client for MLflow. It is not affiliated with, endorsed by, or sponsored by MLflow, LF Projects, LLC, the Linux Foundation, or Databricks. "MLflow" is a trademark of LF Projects, LLC, used here only to describe compatibility. You bring your own MLflow server; Trackshund is simply a nicer window into it. Requires your own MLflow tracking server (open-source MLflow 3.13 or later). iOS 18 or later.