If you need a solution that lets you deploy and share data apps with a single click for collaboration, Dash is a great choice. It's a Python library for building interactive data applications that scale, with a user-friendly interface and rapid development. Dash supports one-click deployment and collaboration, and its architecture is designed to scale with a VPC install on any cloud, so it's a good fit for teams working on data analysis and visualization.
Another contender is Streamlit, an open-source Python framework that lets data scientists and AI/ML engineers build interactive data apps without any front-end programming skills. Streamlit apps can be deployed instantly, either locally or through its Community Cloud, which offers code editing, sharing and deployment. That makes it a good option for collaborative projects that need to be deployed and shared quickly.
Last, UBOS is an all-in-one, low-code platform to build custom Generative AI and AI apps with no setup required. It has single-click deployment to any cloud and collaborative workspaces, so it's good for both technical and nontechnical people. With its range of AI models and open-source tools, UBOS is a good option for collaborative AI projects.