Hyperdash - Machine Learning

Hyperdash - Machine Learning

By Andrew Schreiber

Hyperdash is a machine learning monitoring platform that streams console logs and training status alerts to mobile devices for data scientists.

The App DNA

What makes this app unique?

Researchers use the platform to monitor long-duration training jobs remotely, removing the need to remain physically present at a workstation.

For Data scientists and machine learning engineers who need to monitor long-running training jobs remotely.

What does it look like?

Key features

Real-time Training Monitoringedge

Tracks status of machine learning training runs with live alerts and console log streaming to mobile devices.

Stack Trace Analysisedge

Displays error logs and stack traces directly within the mobile interface upon training failure.

Python SDK Integrationstandard

Open-source SDK supports Keras, Tensorflow, Theano, and PyTorch for local and cloud-based training.

How much does it cost?

freeFree access to monitoring platform and SDK

The service is provided free of charge, focusing on developer adoption and platform usage.

Velocity

Dormant developmentopaqueShow more...

Hyperdash - Machine Learning has been inactive for 3,220 days, indicating a complete cessation of development. The project has not received any updates, feature additions, or maintenance patches in over eight years. Given the lack of activity, the app is classified as a zombie project.

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Who built it?

Andrew Schreiber

1 app tracked · Productivity

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User Sentiment

What do users think recently?

Fresh user feedback skews thrilled. Users appreciate simple setup and notification alerts allow researchers to monitor long-running machine learning jobs remotely and sleek design and fast performance make the tool a reliable utility for tracking complex datasets.

How are ratings & reviews evolving?

App Store
4.50 · 8

What users say, by theme

What Users Love
  • Simple setup and notification alerts allow researchers to monitor long-running machine learning jobs remotely
  • Sleek design and fast performance make the tool a reliable utility for tracking complex datasets

4 of 4 recent reviews analyzed · limited sample

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Competition

Competitive landscape for Hyperdash - Machine Learning

How's the Productivity market?

Hyperdash maintains a niche position in the productivity category, supported by a 4.5-star rating across 8 total ratings. The lack of updates for over 8 years signals a maintenance-mode posture that limits its competitive relevance against modern, actively supported developer tools.

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The rivals identified

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The Analyst's Read

Key takeaways for Hyperdash - Machine Learning

Where is it heading?

The developer-tooling market is consolidating around cloud-native, actively maintained monitoring platforms that offer team-based collaboration. Hyperdash remains exposed due to its lack of updates, and the PM must prioritize a technical refresh to prevent total obsolescence.

  • The 3,220-day update gap indicates a maintenance-only posture, which accelerates the risk of incompatibility with modern machine learning frameworks and hardware.

The SWOT

Core Strengths
  • Open-source Python SDK integration lowers friction for data scientists using standard frameworks
Critical Frictions 1 weakness inside
Growth Levers
  • Enterprise-grade security or team-based monitoring could unlock B2B distribution channels
Market Threats 1 threat identified

Next best moves

1 Invest

Audit current codebase for compatibility with modern Python 3.x and library versions because the last update occurred in 2017 → restore platform reliability

The counter-intuitive read

The platform's long-term dormancy is its primary feature…

Read the full take

Since the last report: The platform's strategic direction shifted from a planned sunset to a proposed technical audit to address compatibility risks with modern Python and machine learning libraries. No functional changes occurred, as the app remains in an 8-year maintenance-only state.

Bottom line

Hyperdash provides a specialized utility for remote training monitoring, but the 8-year development hiatus necessitates a technical audit to restore viability for modern data science workflows.

Unlock 1 critical friction, 1 market threat and the analyst’s take.

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FAQ

Is Hyperdash still supported for modern machine learning projects?
Hyperdash has not received a store update since 2017. While the open-source SDK may still function, users should be aware that the platform is not actively maintained and may face compatibility issues with current Python versions and machine learning libraries.
Does Hyperdash work with PyTorch and Tensorflow?
Yes, the open-source Python SDK is designed to support major machine learning libraries, including Keras, Tensorflow, Theano, and PyTorch, for both local and cloud-based training runs.
Is there a cost to use Hyperdash?
Hyperdash is provided free of charge, including access to the monitoring platform and the open-source Python SDK.

Sources

  1. [1] App Store

Report last updated

Disclosure: Independent intel to help mobile builders succeed.

AI-powered analysis with automated quality gates, built from publicly available sources. Marlvel.ai is not affiliated with, endorsed by, or sponsored by Hyperdash - Machine Learning, its developer, the app publisher, Apple, or Google Play. All trademarks, logos, and screenshots referenced remain the property of their respective owners.

What's new

The platform's strategic direction shifted from a planned sunset to a proposed technical audit to address compatibility risks with modern Python and machine learning libraries. No functional changes occurred, as the app remains in an 8-year maintenance-only state.

shifted

Threat Profile Update

shifted

PM Action Item Pivot

Cite this report

Marlvel.ai. “Hyperdash - Machine Learning Intelligence Report.” Updated Sep 5, 2026. https://marlvel.ai/apps/hyperdash-machine-learning

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