LiveDebugger

LiveDebugger

Software Mansion
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About

Optimize ML models by capturing training metrics in real-time and sending alerts when anomalies are detected. Automatically stop training processes when the desired accuracy is achieved to reduce the time and cost of training ML models. Automatically profile and monitor system resource utilization and send alerts when resource bottlenecks are identified to continuously improve resource utilization. Amazon SageMaker Debugger can reduce troubleshooting during training from days to minutes by automatically detecting and alerting you to remediate common training errors such as gradient values becoming too large or too small. Alerts can be viewed in Amazon SageMaker Studio or configured through Amazon CloudWatch. Additionally, the SageMaker Debugger SDK enables you to automatically detect new classes of model-specific errors such as data sampling, hyperparameter values, and out-of-bound values.

About

LiveDebugger is a development tool that makes Phoenix LiveView debugging simple by helping developers see what is happening inside their applications in real time. It gives teams a clear view of the LiveView and LiveComponent structure, making it easier to understand how components fit together and shape the interface. Developers can explore the component tree at a glance, quickly identify where issues originate, and navigate the hierarchy of a LiveView application without guessing which part of the UI is responsible for a problem. LiveDebugger also lets users inspect assigns for any LiveView or LiveComponent in real time, helping them track state transitions, understand data flow, and see how values change as they interact with the app. Its callback tracing tools make it possible to follow lifecycle callbacks, measure execution time, analyze performance, and filter events so developers can focus only on what matters.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Businesses seeking a tool to optimize ML models with real-time monitoring of training metrics and system resources

Audience

Developers and Elixir teams who need a real-time debugging tool to inspect component trees, assigns, callbacks, state transitions, and UI-to-component relationships

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/sagemaker/debugger/

Company Information

Software Mansion
Founded: 2012
Poland
docs.swmansion.com/live-debugger/

Alternatives

Alternatives

netDocShare

netDocShare

KLoBot
Dahua

Dahua

Dahua Technology

Categories

Categories

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Elixir
Google Chrome
Keras
MXNet
Mozilla Firefox
PyTorch
TensorFlow

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Elixir
Google Chrome
Keras
MXNet
Mozilla Firefox
PyTorch
TensorFlow
Claim Amazon SageMaker Debugger and update features and information
Claim Amazon SageMaker Debugger and update features and information
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