Python for Scientific Computing (PSC) Add-on is a requirement for some of the applications in Splunkbase such as:
Splunk’s users have also used PSC and/or MLTK in combination with other applications such as:
Please download and install the appropriate version here:
Linux 64-bit: https://splunkbase.splunk.com/app/2882/
Linux 32-bit: https://splunkbase.splunk.com/app/2884/
Windows 64-bit: https://splunkbase.splunk.com/app/2883/
To install an app within Splunk Enterprise:
Upgraded numpy to 1.13.1, pandas to 0.22.0, scikit-learn to 0.19.0, scipy to 0.19.1, statsmodels to 0.8.0.
This version of Python for Scientific Computing is compatible with Splunk Machine Learning Toolkit 3.2 and above.
* Added statsmodels and patsy modules.
Upgraded numpy to 1.10.4, scipy to 0.17.0, pandas to 0.17.1, scikit-learn to 0.17.0. Removed statsmodels and patsy.
Splunk AppInspect evaluates Splunk apps against a set of Splunk-defined criteria to assess the validity and security of an app package and components.
As a Splunkbase app developer, you will have access to all Splunk development resources and receive a 10GB license to build an app that will help solve use cases for customers all over the world. Splunkbase has 1000+ apps and add-ons from Splunk, our partners and our community. Find an app or add-on for most any data source and user need, or simply create your own with help from our developer portal.