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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

DebuggAI is an AI-powered debugging platform designed to streamline the process of identifying and resolving code issues through intelligent automation. It offers features such as text-based test requests, secure local tunneling for testing on localhost servers, and visual test reports with GIF recordings to enhance the debugging experience. The platform supports various technologies, including Node.js, Next.js, React, TypeScript, JavaScript, Python, Django, and Vite, making it versatile for different development environments. DebuggAI aims to reduce the complexity of end-to-end testing by allowing developers to generate and run tests using simple English commands, thereby improving efficiency and confidence in the development workflow.

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

Development teams requiring a tool to automate and simplify the debugging and testing processes in their applications

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

$20 per month
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:

Review this Software

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

DebuggAI
United States
debugg.ai/

Alternatives

Alternatives

weinre

weinre

Apache Software Foundation

Categories

Categories

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Cursor
Django
JavaScript
MXNet
Next.js
Node.js
PyTorch
Python
React
TensorFlow
TypeScript

Integrations

AWS Lambda
Amazon CloudWatch
Amazon SageMaker
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Change Healthcare Data & Analytics
Cursor
Django
JavaScript
MXNet
Next.js
Node.js
PyTorch
Python
React
TensorFlow
TypeScript
Claim Amazon SageMaker Debugger and update features and information
Claim Amazon SageMaker Debugger and update features and information
Claim DebuggAI and update features and information
Claim DebuggAI and update features and information