# Hyperdash - Machine Learning — Machine Learning Monitoring

> Real-time machine learning training monitoring and log streaming platform. (iPhone/iPad app by Andrew Schreiber.)

- Source: https://appshunter.io/ios/app/hyperdash-machine-learning/id1257582233 (this page in markdown: same URL + `.md`)
- Developer: [Andrew Schreiber](https://appshunter.io/developer/833723328)
- Category: Productivity, Utilities
- Price: Free
- Rating: 4.50/5 from 8 App Store ratings · 5 written reviews indexed
- Age rating: 4+
- Requires: iOS 8.0 · 10 MB
- Languages: American English
- Released: 2017-07-11
- Data updated: 2026-06-01
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/hyperdash-machine-learning/id1257582233/reviews.md

## What is Hyperdash?

Hyperdash is a machine learning monitoring platform built for data scientists. Track the status of your training with real-time alerts and stream console logs from your machine to any device.

• Watch the status of your training in real-time 
• Track full console logs for each training run, past and present
• See stack traces if the run fails
• Easily contact the developers via text to fix bugs or add features

Learn more at hyperdash.io

=== Hyperdash's open-source Python SDK: ===

• Supports all python 2.7 and 3.x machine learning libraries, including Keras, Tensorflow, Theano, PyTorch, and more!
• Works with both cloud instances and local machines (you can even use both at the same time!)
• Security and privacy are paramount to us - your data set never touches our servers

=== How To Guide ===
Download our Python SDK (supports 2.7 & 3.x) using pip and signup from the command line:

$ pip install hyperdash && hyperdash signup

Try a test run:

$ hyperdash demo

Then use the same email and password to log in to the iPhone app and view your demo run in real-time! Follow the examples and documentation on our website and GitHub page to add Hyperdash to your machine learning project.

## Key features

- Real-time training status monitoring
- Console log streaming
- Stack trace viewing on failure
- Support for Python ML libraries
- Cloud and local machine compatibility
- Direct developer contact

## Recent user reviews (5 of 5)

All indexed reviews: https://appshunter.io/ios/app/hyperdash-machine-learning/id1257582233/reviews.md

### 5/5 — Really handy!

*2020-08-09, version 1.8*

Glad this exists, nice to get updates on my longer jobs. I have yet to try out the tracking/graphing features, but if they work, would be icing on the cake!

### 5/5 — Great app.

*2017-08-16, version 1.4*

Used this to monitor a 7 hour ML job on gerbil behavior. Was delighted to easily check status and completion data. Thanks guys!

### 5/5 — Oh Wow

*2017-07-30, version 1.3*

Simple setup with notifications is great!

### 5/5 — Simple and Fast

*2017-07-19, version 1.1*

Simple, fast - great tool for monitoring ML jobs.

### 5/5 — Super useful

*2017-07-19, version 1.1*

This app is awesome, sleek design and lets me keep tabs on my datasets without being tied to my laptop. Keep up the good work!

## Frequently asked questions about Hyperdash

### What is Hyperdash?

Hyperdash is a machine learning monitoring platform that allows data scientists to track the status of their training runs in real-time and stream console logs from their machine to any device.

### How do I install Hyperdash?

You can install Hyperdash by downloading its open-source Python SDK using pip. After installation, you can sign up from the command line using the command 'hyperdash signup'.

### What machine learning libraries does Hyperdash support?

Hyperdash's Python SDK supports all Python 2.7 and 3.x machine learning libraries, including popular ones like Keras, Tensorflow, Theano, and PyTorch.

### Can I use Hyperdash with both cloud instances and local machines?

Yes, Hyperdash works with both cloud instances and local machines. You can even use both at the same time for your machine learning projects.

### Is my data set safe with Hyperdash?

Security and privacy are paramount. Your data set never touches Hyperdash's servers, ensuring your sensitive information remains secure.

### How often is Hyperdash updated?

The latest version of Hyperdash is 1.8, which was last updated on November 11, 2017. This indicates a release cycle that may vary.

### What devices is Hyperdash available on?

Hyperdash is available on iPhone, iPad, and iPod devices, making it accessible for monitoring on the go.

### What is the age rating for Hyperdash?

Hyperdash has an age rating of 4+, making it suitable for a wide range of users.

## Version history (last 5 releases)

### 1.8 — 2017-11-11

This app has been updated by Apple to display the Apple Watch app icon.

- Login using your GitHub account
- Compatibility with iPhone X

### 1.7 — 2017-10-16

- Reset your password from the login screen.
- Scroll up to view your experiment's entire log.
- Colorize logs now show where stderr was used.
- And a few bug fixes!

### 1.6 — 2017-10-06

Metrics & Parameters!

- You can now view monitor your experiment's performance metrics and hyperparameters in addition to logs. 
- Watch your Loss or Accuracy trend in real time.
- Redesigned experience to optimize for monitoring your models.

### 1.5 — 2017-08-28

• You can now delete Models and Experiments (hard press to delete models).
• We've added an activity spinner to indicate if your logs are still streaming.
• There are new links to documentation and reporting issues in the side menu.

### 1.4 — 2017-08-08

- Bug fixes

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*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 2026-06-01.*
