Hyperdash - Machine Learning1.8 - App Store
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Publisher Description
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.
Version History - Login using your GitHub account
- Compatibility with iPhone X 1.8 11/11/2017 - 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! 1.7 10/16/2017 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. 1.6 10/06/2017 • 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. 1.5 08/28/2017 - Bug fixes 1.4 08/08/2017 - Get a Push Notification when your training completes!
- 1Password support for Login
- Bug fixes 1.3 07/25/2017 - Sign in directly from the app
- Bug fixes 1.2 07/21/2017 Redesign for easier access to past runs. 1.1 07/18/2017 1.0 07/11/2017
About Hyperdash - Machine Learning
The company that develops Hyperdash - Machine Learning is Andrew Schreiber. The latest version released by its developer is 1.8.
To install Hyperdash - Machine Learning on your iOS device, just click the green Continue To App button above to start the installation process. The app is listed on our website since 2026-10-13 and was downloaded 0 times. We have already checked if the download link is safe, however for your own protection we recommend that you scan the downloaded app with your antivirus. Your antivirus may detect the Hyperdash - Machine Learning as malware if the download link is broken.
How to install Hyperdash - Machine Learning on your iOS device:
- Click on the Continue To App button on our website. This will redirect you to the App Store.
- Once the Hyperdash - Machine Learning is shown in the iTunes listing of your iOS device, you can start its download and installation. Tap on the GET button to the right of the app to start downloading it.
- If you are not logged-in the iOS appstore app, you'll be prompted for your your Apple ID and/or password.
- After Hyperdash - Machine Learning is downloaded, you'll see an INSTALL button to the right. Tap on it to start the actual installation of the iOS app.
- Once installation is finished you can tap on the OPEN button to start it. Its icon will also be added to your device home screen.
Program Details
System requirements
Download information
Pricing
Version History
version 1.8
posted on 2026-10-13
Version History - Login using your GitHub account
- Compatibility with iPhone X 1.8 11/11/2017 - 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! 1.7 10/16/2017 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. 1.6 10/06/2017 • 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. 1.5 08/28/2017 - Bug fixes 1.4 08/08/2017 - Get a Push Notification when your training completes!
- 1Password support for Login
- Bug fixes 1.3 07/25/2017 - Sign in directly from the app
- Bug fixes 1.2 07/21/2017 Redesign for easier access to past runs. 1.1 07/18/2017 1.0 07/11/2017
version 1.8
posted on 2026-09-04
Version History This app has been updated by Apple to prepare for watchOS 27 compatibility. No new features are included.
- Login using your GitHub account
- Compatibility with iPhone X 1.8 11/11/2017 - 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! 1.7 10/16/2017 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. 1.6 10/06/2017 • 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. 1.5 08/28/2017 - Bug fixes 1.4 08/08/2017 - Get a Push Notification when your training completes!
- 1Password support for Login
- Bug fixes 1.3 07/25/2017 - Sign in directly from the app
- Bug fixes 1.2 07/21/2017 Redesign for easier access to past runs. 1.1 07/18/2017 1.0 07/11/2017
version 1.8
posted on 2026-08-22
Version History This update from Apple will improve the functionality of this app. No new features are included.
- Login using your GitHub account
- Compatibility with iPhone X 1.8 11/11/2017 - 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! 1.7 10/16/2017 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. 1.6 10/06/2017 • 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. 1.5 08/28/2017 - Bug fixes 1.4 08/08/2017 - Get a Push Notification when your training completes!
- 1Password support for Login
- Bug fixes 1.3 07/25/2017 - Sign in directly from the app
- Bug fixes 1.2 07/21/2017 Redesign for easier access to past runs. 1.1 07/18/2017 1.0 07/11/2017
version 1.8
posted on 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
version 1.8
posted on 2017-11-11
Nov 11, 2017
Version 1.8
This app has been updated by Apple to display the Apple Watch app icon.
- Login using your GitHub account
- Compatibility with iPhone X
Disclaimer
Official App Store Link
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