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

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Jupytab

Jupytab Web Site

Other Useful Business Software
Build Securely on Azure with Proven Frameworks Icon
Build Securely on Azure with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Jupytab!

Additional Project Details

Programming Language

Python

Related Categories

Python Data Visualization Software

Registered

2024-01-09