# Noti - ML Logs on Your Phone — Mobile ML training dashboard

> Mobile ML training dashboard (iPhone/iPad app by Jingwei Zhao.)

- Source: https://appshunter.io/ios/app/noti-ml-logs-on-your-phone/id6761720039 (this page in markdown: same URL + `.md`)
- Developer: [Jingwei Zhao](https://appshunter.io/developer/1781372788)
- Category: Developer Tools, Utilities
- Price: Free
- Age rating: 4+
- Requires: iOS 13.0 · 26 MB
- Languages: American English
- Released: 2026-04-09
- Data updated: 2026-07-08
- User reviews in markdown: https://appshunter.io/ios/app/noti-ml-logs-on-your-phone/id6761720039/reviews.md

## What is Noti?

Noti brings training visibility to your phone. Connect your Python workflows with the Notiboard SDK, stream scalars, histograms, images, and text logs to a server you control, and watch progress in real time with a clean mobile dashboard.

Key features:
- Dashboard: runs, progress, and pinned metrics at a glance
- Charts: multi-run scalars, smoothing, log scale, tag filtering
- Media: view histograms, text logs, and image previews
- Notifications: alerts plus an inbox history (push on supported devices)
- Secure account: email sign-in; API keys for your training jobs

How it works:
1) Install the Noti app on iPhone/iPad
2) Create an account and generate an API key in Settings → API Keys
3) Install the Python package: `pip install notiboard`
4) Use `NotiWriter` (or `NotiClient`) to sync metrics and send alerts

Server options:
- Use your own Noti server, or point the app to a hosted backend you trust.
- The app defaults to the production API in release builds. You can change the server URL in Settings for development.


## Version history (last 2 releases)

### 1.0.1 — 2026-04-10

- Few bugs fixed

### 1.0.0 — 2026-04-09

No release notes.

## More apps by Jingwei Zhao

- [Piecelet for NeoDB](https://appshunter.io/ios/app/piecelet-for-neodb/id6739444863)
- [TivoliHub](https://appshunter.io/ios/app/tivolihub/id6762517958)

All apps by Jingwei Zhao: https://appshunter.io/developer/1781372788

---

*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-07-08.*