Jupytab allows you to explore in Tableau data which is generated dynamically by a Jupyter Notebook. You can thus create Tableau data sources in a very flexible way using all the power of Python. This is achieved by having Tableau access data through a web server created by Jupytab.
Features
- Expose multiple pandas dataframes to Tableau from a Jupyter notebook
- Access several notebooks from Tableau through a single entry point (web server)
- Manage your notebooks using a web interface
- Secure access to your data
- Compute data on the fly using the TabPy protocol
- Documentation available
Categories
Data VisualizationLicense
MIT LicenseFollow Jupytab
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Jupytab!