Q DashMan

screenshot of Q DashMan
django

Q-DashMan helps you to create dashboards easily to understand the health of your open source software project. Demo at https://youtu.be/udx2KxJlon4

Overview:

Q-DashMan is a web application that automates the generation of dashboards with metrics about a software project's development. It uses Django as the development framework and GrimoireLab's tools for collecting, analyzing, and visualizing metrics. Q-DashMan simplifies the process of exporting data from development systems and creating interactive dashboards.

Features:

  • Easy generation of dashboards with metrics about project development.
  • Integration with GrimoireLab's tools for data collection, analysis, and visualization.
  • Simple user interface compared to manually setting up and running GrimoireLab tools.
  • Supports specifying data sources for specific projects.
  • Automatic generation of dashboards, hiding the complexity of GrimoireLab's tools.

Summary:

Q-DashMan is a web application that simplifies the generation of dashboards with metrics about software project development. It integrates with GrimoireLab's tools and provides a user-friendly interface for specifying data sources and generating dashboards. Q-DashMan is built using Django and can be easily installed using Docker containers.

django
Django

Django is a high-level Python web framework that encourages rapid development and clean, pragmatic design. It follows the model-view-controller (MVC) architectural pattern, providing an extensive set of built-in tools and conventions to streamline the creation of robust and scalable web applications.

dashboard
Dashboard

A dashboard style website template is a pre-designed layout that features a user interface resembling a control panel or dashboard. It typically includes charts, graphs, tables, and other data visualization tools that allow users to monitor and analyze data in real-time.

docker
Docker

A website that uses Docker for containerization to streamline development, testing, and deployment workflows. This includes features such as containerization of dependencies, automated builds and deployments, and container orchestration to ensure scalability and availability.