Trackshund is made and published by Noah Nethery. AppBrain is an independent app data site and isn't affiliated with Noah Nethery. The app name, icon, screenshots and description belong to Noah Nethery and are shown as published on the App Store.
AppBrain's verdict
New- Rating on App Store
- 5.00
- 5 ratings
- Last updated
- September 4, 2026
- Size
- 13.3 MB
Trackshund came out 45 days ago. It doesn't have enough ratings yet to judge what users think.
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Store listing
By Noah Nethery, from the App StoreDescription by Noah Nethery Written by the developer, not by AppBrain. Click to read.
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.
Safety and technology
Found in the app by AppBrain- Price
- Free
- App size
- 13.3 MB
- Content rating
- Everyone
Technologies used by Trackshund
Releases
Updates seen on the App Store- Version
- 1.0
- Launched
- September 2026
No changelog data
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Rankings
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About the app and developer
About Trackshund
Trackshund is an overall app developed by Noah Nethery.
User Ratings
Trackshund is rated 5.00 out of 5 stars. The rating is based on 5 ratings.
App Information
Trackshund is freely available from the App Store. The app size is 13.31 MB. The latest version available is 1.0. The last update was on September 4, 2026.
Technical Requirements
The app has a content rating of Everyone. The app has been available on the App Store since September 2026.
Developer information for Noah Nethery
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