Facilitates interaction with the PyTorch HUD API, providing access to CI/CD data, job logs, and analytics.
Sponsored
This library provides a Python interface and MCP server for interacting with the PyTorch HUD API, offering comprehensive tools for PyTorch CI/CD analytics. It enables data access for workflows, jobs, and test runs, efficient log analysis for large CI logs, ClickHouse query integration for analytics, and resource utilization metrics, streamlining the process of analyzing and understanding PyTorch CI/CD performance.
Key Features
01Supports ClickHouse query integration for analytics.
02Enables efficient log analysis for large CI logs.
03Includes detailed failure information for failed jobs.
04Provides data access for workflows, jobs, and test runs.
05Offers resource utilization metrics.
Use Cases
01Analyzing PyTorch CI/CD performance.
02Troubleshooting failed jobs with detailed failure information.
03Monitoring resource utilization of PyTorch CI/CD processes.
