Connect Tableau to your Jupyter Notebook
Project description
Jupytab Server 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.
Jupytab Server is built on solid foundations: Tableau's Web Data Connector and the Jupyter Kernel Gateway.
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
The full documentation is available on the project's home page.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
jupytab-server-0.9.10.tar.gz
(135.1 kB
view hashes)
Built Distribution
Close
Hashes for jupytab_server-0.9.10-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | b8384b047381ce9637c4f7493a32c39a4e9ce293159756a5a536b03dcc236019 |
|
MD5 | ce49649b326e43f6d1012d9d925a9f82 |
|
BLAKE2b-256 | e82c4006530bd7620e4241aeb48a44a638aa483da75dc9ed73d32934f5c78e86 |