
Awesome dashboard built with Flask and Mithril
JARVISci is an innovative dashboard framework designed specifically for the Raspberry Pi, making it an appealing choice for tech enthusiasts and developers alike. It brings the power of live-updating widgets directly to your fingertips, allowing you to create a customized display tailored to your unique needs. With its straightforward setup and extensibility, JARVIS offers an excellent opportunity for users to explore the potential of their Raspberry Pi while enjoying a slick interface.
Whether you want to track your calendar events, manage emails, or visualize other data, JARVIS has you covered. Its ability to handle configuration through a single Python source file streamlines usage, making it user-friendly for even those who may be new to programming.
Live-updating Widgets: With server-sent events, JARVIS provides real-time updates on your dashboard, ensuring you always have the latest information at a glance.
Extensibility: Easily extend the framework to incorporate custom widgets or functionalities that suit your personal or project-specific requirements.
Simple Configuration: All widget configurations can be managed from a single Python source file, simplifying the setup process.
Support for Python 3.6+: JARVIS runs on Python 3.6 and above, enabling access to modern programming features and libraries.
Debug Mode: A built-in debug mode helps streamline the development process by allowing you to run and troubleshoot your application more efficiently.
Google API Integration: Simplified setup for integrating Google APIs, providing access to calendar and Gmail functionalities right within your dashboard.
MIT License: JARVIS is open-source and licensed under the MIT license, promoting collaboration and community contributions.

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.