Python for Scientific Computing (for Mac)
Overview
Details
This add-on is available for Linux (64-bit and 32-bit), Windows (64-bit) and Mac. Make sure you install the appropriate one for your Splunk deployment.
Requirements
Python for Scientific Computing (PSC) Add-on is a requirement for some of the applications in Splunkbase such as:
- Machine Learning Toolkit (MLTK Beta and Advisory apps as well)
- Splunk Security Essentials for Fraud Detection
- DGA App for Splunk
- Suricata app for splunk
Splunk’s users have also used PSC and/or MLTK in combination with other applications such as:
- Splunk Security Essentials
- App for AWS Billing
- Splunk ITSI Module for Application Performance Monitoring etc.
Download
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/
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Windows 64-bit: https://splunkbase.splunk.com/app/2883/
Installation
To install an app within Splunk Enterprise:
- Log into Splunk Enterprise.
- Next to the Apps menu, click the Manage Apps icon.
- Click Install app from file.
- In the Upload app dialog box, click Choose File.
- Locate the .tar.gz or .tar file you just downloaded, then click Open or Choose.
- Click Upload.
Release Notes
Version 1.3
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.
Version 1.2
* Added statsmodels and patsy modules.
Version 1.1
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.