claude-pytorch-treehugger

claude-pytorch-treehugger

3.3

If you are the rightful owner of claude-pytorch-treehugger and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Python library and MCP server for interacting with the PyTorch HUD API, providing access to CI/CD data, job logs, and analytics.

The PyTorch HUD API with MCP Support is a comprehensive tool designed to facilitate interaction with PyTorch's CI/CD data. It provides users with the ability to access detailed information about workflows, jobs, and test runs, making it easier to analyze and optimize CI processes. The library includes efficient log analysis capabilities, allowing users to handle large CI logs effectively. Additionally, it integrates with ClickHouse for advanced analytics and offers insights into resource utilization metrics. This makes it an invaluable resource for developers and teams looking to streamline their CI/CD pipelines and gain deeper insights into their processes.

Features

  • Data Access: Provides functions to access commit summaries, job summaries, and filter jobs by various criteria.
  • Log Analysis: Includes tools for downloading logs, extracting patterns, parsing test results, and searching logs.
  • ClickHouse Integration: Allows for advanced analytics using ClickHouse queries.
  • Resource Utilization Metrics: Offers insights into the utilization of resources during CI/CD processes.