Question: Is there a library that allows me to create interactive, real-time demos for my data science projects?

If you want a library to build interactive, real-time demos of your data science projects, Gradio is a good choice. It's a Python library that lets you rapidly develop and share machine learning applications and demos with an intuitive interface. With Gradio, you can turn Python functions into interactive web-based demos and support a wide range of input and output types like text, images, numbers and more. It also comes with more than 30 pre-built components and supports multiple users with streaming inputs and outputs.

Another good choice is DataChat, a no-code, generative AI platform that can convert complex data into useful insights without requiring you to write code. Its interface is like something you've seen before with spreadsheet and chat software, so you can ask questions and explore data through chat boxes and spreadsheets. DataChat automates tasks like data prep, exploration and modeling, so it's good for data scientists, analysts and business users who need to make decisions fast.

For a more AI-infused approach, check out Supademo, which turns static demos into interactive experiences with AI. It has features like synthetic AI voiceovers, automated text annotations, generative AI text and custom branding. It's good for customer success, sales enablement, product marketing and internal training, so you can get people to adopt your product and engage with it.

Last, Onvo is an AI-powered data visualization platform that lets you create interactive charts and insights without having to write complex queries or fiddle with data. It connects to a variety of data sources, lets you create dashboards with simple AI prompts, and offers customization options to fit your brand. Onvo is good for startups and enterprises that want to simplify workflows and create engaging dashboards.