Native support for Jupyter IDE has been announced in Daytona, bringing interactive data analysis and visualization capabilities directly into the platform's development environments. Jupyter is an open-source web application that allows users to create and share documents containing live code, equations, visualizations, and narrative text, making it a favorite among data scientists, researchers, and educators. The integration with Daytona enables seamless access to Jupyter notebooks, language support for various programming languages, interactive visualizations, and collaborative features. By using Jupyter in Daytona, users can experience consistent environments, version control, resource flexibility, and a seamless workflow, which are particularly beneficial for data analysis, machine learning, and scientific research. Future updates may include pre-configured data science environments, enhanced collaboration features, and integration with popular data science libraries and tools.