The TIBCO Spotfire® Service for Python
Spotfire® Service for Python extends access to the Python® language from the TIBCO Spotfire® Analyst (Windows client) to TIBCO Spotfire® Business Author users.
Spotfire Service for Python provides predictive and computational detail to users who access Spotfire visualizations through the Spotfire Business Author or Spotfire Consumer.
Spotfire Service for Python is provided to TIBCO Spotfire® Server administrators as a set of Spotfire SPK packages in one SDN distribution file. Spotfire® Server administrators can install and configure the Spotfire Service for Python on a node manager that is available to Spotfire Server.
This help for Spotfire Service for Python is for Spotfire Server administrators who need to install and configure the Spotfire Service for Python, to install Python packages for visualizations that use them, and to review logs and troubleshoot the Spotfire Service for Python.
- System Requirements and Compatibility
Spotfire Service for Python version 1.3 system requirements and third-party compatibility details are listed here. - Limiting Exposure of Your Deployment
Version 1.3 of the Spotfire Service for Python runs the Spotfire Service for Python under Linux or Windows. The Linux installation provides the option of running the Python engine in a container, on a Spotfire Server node running under Linux. - Containerized Spotfire Service for Python
Spotfire Service for Python on Linux is configured to use a Docker® container by default.
- System Requirements and Compatibility
Spotfire Service for Python version 1.3 system requirements and third-party compatibility details are listed here. - Limiting Exposure of Your Deployment
Version 1.3 of the Spotfire Service for Python runs the Spotfire Service for Python under Linux or Windows. The Linux installation provides the option of running the Python engine in a container, on a Spotfire Server node running under Linux. - Containerized Spotfire Service for Python
Spotfire Service for Python on Linux is configured to use a Docker® container by default.