Dashboard

Workflow Name

Dashboard

Key Features and Highlights

The Dashboard workflow automates the extraction of key metrics from multiple developer and open-source ecosystem data sources, formats the data, and pushes it to a customizable dashboard for display. It supports real-time scheduled updates and integrates multidimensional data from Docker Hub, npm, GitHub, and Product Hunt. This enables developers to comprehensively monitor project activity, popularity, and maintenance status.

Core Problems Addressed

When managing open-source projects across multiple platforms, developers often face issues such as fragmented metrics, untimely data updates, and cumbersome manual aggregation. This workflow automates the integration of multi-source data and synchronizes key project metrics in real time, significantly improving data acquisition efficiency and accuracy while eliminating information silos.

Use Cases

• Open-source project maintainers needing real-time insights into project performance and community feedback on Docker, npm, GitHub, and other platforms
• Product managers and technical teams seeking to monitor project health and user engagement through a unified dashboard
• Community operators analyzing product reviews and interaction data on Product Hunt
• Integration of project metrics reporting and visualization within automated DevOps pipelines

Main Process Steps

1. Scheduled Trigger (Cron): Automatically initiates the data update process every minute
2. Configuration Loading (Dashboard Configuration): Loads project-specific parameters such as host address, authentication tokens, and repository information
3. Data Extraction:
   • Retrieves image pull counts and star ratings from Docker Hub via HTTP requests
   • Calls the npms.io API to obtain npm package maintenance, popularity, and quality scores
   • Uses the GitHub API to fetch repository statistics including stars, watchers, branches, and open issues
   • Queries the Product Hunt GraphQL API for product votes, comments, ratings, and other community feedback
4. Data Formatting (Massage Data): Applies thousand separators and adjusts numerical precision to ensure clear and aesthetically pleasing presentation
5. Data Push: Sends the processed data via POST requests to various widgets on the custom dashboard, completing real-time metric updates

Involved Systems and Services

• Docker Hub: For image pull counts and star ratings
• npm (npms.io API): For package maintenance, popularity, and quality metrics
• GitHub API: For repository-related statistics
• Product Hunt API: For community ratings and interaction data
• n8n Workflow Automation Platform: Responsible for task scheduling, data processing, and API calls
• Custom Dashboard Service: Receives and displays various metric data

Target Users and Value

This workflow is suitable for open-source maintainers, product managers, community operators, and technical team members, helping them to:

• Gain real-time visibility into project health and popularity across multiple platforms
• Reduce manual data aggregation and improve operational efficiency
• Drive data-informed decisions to optimize project development and community engagement
• Easily build customized project monitoring dashboards for clear, multidimensional data visualization

In summary, the Dashboard workflow is a powerful multi-platform project metrics automated collection and visualization solution that empowers users to achieve panoramic data visibility and intelligent project management.