I managed to add extra python modules to Python for Scientific Computing by building it from source. In my case I added xgboost for Linux (64-bit) Cloned the GitHub repo: https://github.com/splunk/Splunk-python-for-scientific-computing Just for increased stability I checked out the latest available git tag (currently 4.2.1, this step might not be necessary) I then added in environment.nix.yml the python module that I want (in my case: - xgboost=2.1.1) Afterwards, followed the readme and run: make freeze make build make dist Finally copied the tarball from the build directory to the user_apps directory on Splunk (substituting the existing Python for Scientific Computing app if already installed). When using Python for Scientific Computing copy the exec_anaconda and util python scripts to the bin directory of your app. Also copy the lib/splunklib from Python for Scientific Computing to the bin directory of your app. Add these lines to the start of your script: import exec_anaconda
exec_anaconda.exec_anaconda()
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