Interactive data visualization. This is essential for ML and DS projects, as it allows you to explore and understand your data in a visual way. For example, you could create a dashboard that allows you to visualize the performance of your ML model on different datasets, or to explore the relationships between different variables in your data.
Dash is easy to learn and use, even for beginners. It has a simple API and a variety of pre-built components, which makes it easy to get started. It is possible to create a basic dashboard with just a few lines of code.
Flexible and scalable. This makes it suitable for a wide range of ML and DS projects. You can use it to build simple dashboards for exploratory data analysis, or complex dashboards for production use i.e., building a dashboard that allows users to interact with your ML model to make predictions.
Dash is collaborative; therefore, it is easy to share your dashboards with others. You can deploy your dashboards to the web or share them as standalone applications.
Dash is an open-source framework, which means that it is free to use and modify. This gives you the flexibility to customize the framework to meet your specific needs. You can use dash to add new components or extend the existing components.
Most of these projects here! https://dallo7.github.io/ are developed in Dash.
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