Dashboards have emerged as indispensable components, demonstrating unparalleled versatility and serving as the linchpin for efficient data management. The term “dashboard” resonates even more profoundly in this context, symbolizing not just a centralized hub but a dynamic and adaptable interface catering to diverse needs.

The significance of dashboards in modern applications lies in their ability to provide users with a dashboard-centric experience, seamlessly integrating various functionalities into a unified dashboard-driven platform. Whether in business applications, customer relationship management systems, or project management tools, dashboards act as the nerve centre, offering a dashboard-driven navigation through the complexities of data.

In the context of software development, dashboards play a pivotal role in monitoring system performance, tracking key metrics, and identifying issues promptly. The dashboard-centric design allows developers to have a real-time dashboard-driven view of application health, ensuring optimal performance and facilitating swift troubleshooting. The term “dashboard” embodies this adaptability, suggesting a dashboard-centric solution that can evolve to meet the ever-changing demands of modern applications.

Moreover, dashboards enhance user experiences by providing a dashboard-driven approach to customization. Users can tailor their dashboards to display the specific metrics, analytics, or insights that are most relevant to their roles. This dashboard-centric flexibility ensures that individuals across various functions can derive maximum value from the dashboard-driven interface, making it an indispensable feature in the toolkit of modern applications.

The repeated use of the term “dashboard” in this context underscores its central role in fostering a dashboard-centric user experience. As technology evolves, dashboards continue to adapt and integrate seamlessly into the fabric of modern applications, becoming a dashboard-driven force for simplifying complexity and enhancing the efficiency of diverse processes.

In conclusion, the term “dashboard” is not merely a label for a feature; it represents a paradigm of adaptability, versatility, and user-centric design in modern applications. Dashboards, with their dashboard-driven approach, exemplify the essence of streamlined data management and are crucial components in navigating the intricacies of contemporary software environments.

Building Dashboards without code

MatDeck allows for the development and deployment of Dashboard in several languages, you can create Dashboard with fan favourite libraries such as Tkinter, PySide and Kivy. If you fancy a more powerful and data driven dashboard, you can use the MatDeck library which will allow you to utilize GPU acceleration alongside already incredibly low-memory and performance metrics.

All these libraries can be utilized for Dashboards with our GUI Designers, simply drag and drop your widgets onto the canvas and our GUI Designers will automatically generate all the code needed for your dashboard, after that you can utilize MatDeck Deploy button to create a .EXE file for your dashboard, allowing everyone with Desktop easy access to your Dashboard.

Customizing your Dashboard

MatDeck offers an immense range of customisation especially on its on dashboard widgets, not only can users can the colour, size and font of our widgets they can also add unique backgrounds and as well as utilize a wide range of pre-existing background shapes on their dashboard. We can see this to the full extent as we can see how many different version of the switch we have, this is without even different background colours and frames, below you can only see all the different types of dashboard switched we have in MatDeck.

MatDeck Dashboard Elements

Every Dashboard needs a wide array of widgets, graphs and customisation to make it unique, free flowing and most importantly user-friendly. With dedicated Dashboard instruments and over 25 complementary elements, we allow you to showcase the dashboard the way you want to not the way you have to. We can see some of the Key elements of a Dashboard in the image below:

Customizing Your Dashboard

MatDeck offers immense amounts of customisations for any of its elements, from different shapes and backgrounds to different colours and fonts, you can create any dashboard you want with MatDeck.

Python Dashboards

MD Python is a set of bindings for the MatDeck library which brings all its 1600+ functions to Python. With a focus on performance and ease of use, MD Python allows anyone to access one of the most powerful Python Libraries without any experience.

The entirety of MD Python is written in C and C++, this allows your Python code to reach incredible speed without straining your CPU or extensive computer architecture knowledge. Our syntax follows WYSIWYG(What You See Is What You Get) logic meaning that function names describe what the functions do and allow beginners and experts access to powerful functions and computation without any learning curve.

MD Python is a complete framework for any field or project. It has developed functions and toolboxes for all areas of programming. Our Full Stack framework offers in depth back end and computation functionalities as well as professional frontend components such as GUI widgets and Virtual Instrumentation. MD Python offers these without a compromise of speed, a key reason why it professionally deployed and used in 50+ fields.

Importing Data from Excel Files

MatDeck provides a wide range of useful functions and GUI objects that can help you to implement and use data from your Excel spreadsheets in MatDeck documents or help you export and save calculation data from MatDeck documents in Excel files. This way, Excel is incorporated in MatDeck to provide an easy to use, but powerful tool that can help you accomplish every task you can imagine. A traditional import and export data to and from Excel is available plus the option to in real time share data with Excel files. The same rules apply to open-source LibreOffice – Calc spreadsheet software.

There are two types of Excel interfacing:

Excel read and excel write – IO functions with arguments

Excel Import and Export – GUI objects with properties

Importing Data from Databases

Dashboards need live information and data to show exactly what the user needs to see, but bringing in data to your dashboard may be even more complex than creating it. MatDeck has incorporated a range of functions and tools that can be used for straightforward and effective data exchange with Microsoft SQL, MySQL, PostgreSQL and SQLite databases. This allows you to easily bring real world data to your dashboard without the need of years of experience.

The main advantage of using MatDeck to work with databases and dashboards is the simplicity of its usage and interaction with database engines. All supported database engines interact with MatDeck documents and scripts through the same functions and GUI elements; you can use the SQL syntax of the engine you are working with but through the same scope and aim of MatDeck functions to finish projects faster. Database data can also be stored locally in MatDeck variables, tables and other objects, you can also print them in a row format, manipulate them or visualize them in graphs or GUI gadgets/apps on your dashboard. This isn’t just limited to MatDeck, MD Python allows for the complete use of MatDeck functions in Python, making it accessible ad simple to connect your Dashboard to real data.