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| Monitoring Project Progress |
ClearML provides a comprehensive set of monitoring tools to help effectively track and manage machine learning projects. These tools offer both high-level overviews and detailed insights into task execution, resource utilization, and project performance.
Project Overview
A project's OVERVIEW tab in the UI presents a general picture of a project:
- Metric Snapshot – A graphical representation of selected metric values across project tasks, offering a quick assessment of progress.
- Task Status Tracking – When a single metric variant is selected for the snapshot, task status is color-coded (e.g., Completed, Aborted, Published, Failed) for better visibility.
Use the Metric Snapshot to track project progress and identify trends in task performance.
For more information, see Project Overview.
Project Dashboard
:::info Pro Plan Offering The Project Dashboard app is available under the ClearML Pro plan. :::
The Project Dashboard UI application provides a centralized view of project progress, task statuses, resource usage, and key performance metrics. It offers:
- Comprehensive insights:
- Track task statuses and trends over time.
- Monitor GPU utilization and worker activity.
- Analyze performance metrics.
- Proactive alerts - By integrating with Slack, the Dashboard can notify teams of task failures and completions.
For more information, see Project Dashboard.
Task Monitoring
ClearML task monitoring capabilities through the clearml.automation.Monitor
class. By extending this class, you can:
- Send notifications via Slack or other channels
- Trigger automated responses based on specific task conditions
For a practical example, see the Slack Alerts Example, which demonstrates how to:
- Track task status (completion, failure, etc.)
- Send notifications to a specified Slack channel
- Retrieve task details such as status, console logs, and links to the ClearML Web UI
You can also configure filters for task types and projects to reduce unnecessary notifications.
