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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Description

LiveDebugger is an innovative tool designed to simplify the debugging process for Phoenix LiveView, allowing developers to monitor their applications in real time. By providing a transparent view of the LiveView and LiveComponent architecture, it enhances comprehension of how various components are interrelated and contribute to the overall interface. Developers can readily navigate the component tree, pinpointing the sources of issues with ease, and traverse the hierarchy of a LiveView application without uncertainty regarding which UI element is causing a glitch. Additionally, LiveDebugger empowers users to monitor assigns for any LiveView or LiveComponent in real time, enabling them to track state changes, grasp data flow, and observe value modifications during interactions with the application. Its callback tracing capabilities allow developers to effectively follow lifecycle callbacks, evaluate execution times, assess performance metrics, and filter events to concentrate on the most relevant information. Ultimately, LiveDebugger streamlines the debugging experience, making it an invaluable resource for developers aiming to enhance their workflow efficiency.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Lambda Yes 
Amazon CloudWatch Yes 
Amazon SageMaker Yes 
Amazon SageMaker Studio Yes 
Amazon SageMaker Unified Studio Yes 
Amazon Web Services (AWS) Yes 
Change Healthcare Data & Analytics Yes 
Elixir No 
Google Chrome No 
Keras Yes 
MXNet Yes 
Mozilla Firefox No 
PyTorch Yes 
TensorFlow Yes 

Integrations

AWS Lambda No 
Amazon CloudWatch No 
Amazon SageMaker No 
Amazon SageMaker Studio No 
Amazon SageMaker Unified Studio No 
Amazon Web Services (AWS) No 
Change Healthcare Data & Analytics No 
Elixir Yes 
Google Chrome Yes 
Keras No 
MXNet No 
Mozilla Firefox Yes 
PyTorch No 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/debugger/

Vendor Details

Company Name

Software Mansion

Founded

2012

Country

Poland

Website

docs.swmansion.com/live-debugger/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

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