Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Runheed is an error-tracking platform designed for developers utilizing AI coding agents in the creation and upkeep of production applications. It offers SDKs for Node.js/TypeScript and Python that log exceptions, which Runheed organizes by fingerprint, providing detailed insights such as stack traces, breadcrumbs, request information, environment specifics, release data, and optional context from the agent session. With the remote Model Context Protocol (MCP) server, compatible agents can effectively search through error groups, analyze comprehensive context and trends, assess project health, and document fixes for errors. If an error that has been resolved appears again, it reopens along with its previous resolution note for reference. Setup frameworks are available for popular applications like Express, Next.js, Fastify, FastAPI, Django, and Flask, while an HTTP endpoint is available for error reports from other programming languages. Users receive email alerts whenever new types of errors are identified. The Solo plan is priced at $29 per workspace each month and comes with a trial period of 7 days, allowing users to explore its features before committing. This makes Runheed an appealing choice for developers looking to streamline their error management process.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
AWS Lambda
Yes
Amazon CloudWatch
Yes
Amazon SageMaker
Yes
Amazon SageMaker Studio
Yes
Amazon SageMaker Unified Studio
Yes
Change Healthcare Data & Analytics
Yes
Claude
No
Claude Code
No
Claude Desktop
No
Cline
No
Integrations
AWS Lambda
No
Amazon CloudWatch
No
Amazon SageMaker
No
Amazon SageMaker Studio
No
Amazon SageMaker Unified Studio
No
Change Healthcare Data & Analytics
No
Claude
Yes
Claude Code
Yes
Claude Desktop
Yes
Cline
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$29/month
Solo is $29 per workspace per month, or $290 annually, and includes 50,000 events per month, 3 projects, and 30-day history. Pro is $79/month or $790/year; Scale is $199/month or $1,990/year. All plans include the MCP server and unlimited agent keys; events above the monthly limit are rejected rather than billed. The 7-day trial requires a payment card; the first charge is due at the end of the trial unless canceled before then.
Free Trial
Yes
Free Version
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
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
Great Work LLC
Founded
2025
Country
United States
Website
runheed.com
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
Alternatives
Alternatives
No Alternatives