Hello,
I have a script that takes raw data and analyze it, the script does not create absolutely no visualization whatsoever, once this is said, when i run the script from the python shell of the gui i see a large performance gap to what i am getting running the same script using pvpython.
one simply would continue using pvpython and leave it there, but i would like to manipulate the data visualize it, etc after the script is fully runned. so, in this case pvpython will not be of help, is there anything else i should turn on on the settings of paraview to have a smaller performance gap?
I am getting 4 times between paraview gui vs pvpython.
thanks
on the preference of the paraview gui i have this as client information:
Client Information:
Version: 6.0.1
VTK Version: 9.5.2
Qt Version: 6.9.0
vtkIdType size: 64bits
Embedded Python: On
Python Library Path: /home/franco/Programs/ParaView/ParaView-6.0.1-MPI-Linux-Python3.12-x86_64/lib/python3.12
Python Library Version: 3.12.7 (main, Sep 25 2025, 18:56:46) [GCC 10.3.1 20210422 (Red Hat 10.3.1-1)]
Python Numpy Support: On
Python Numpy Path: /home/franco/Programs/ParaView/ParaView-6.0.1-MPI-Linux-Python3.12-x86_64/lib/python3.12/site-packages/numpy
Python Numpy Version: 1.26.4
Python Matplotlib Support: On
Python Matplotlib Path: /home/franco/Programs/ParaView/ParaView-6.0.1-MPI-Linux-Python3.12-x86_64/lib/python3.12/site-packages/matplotlib
Python Matplotlib Version: 3.7.2
Python Testing: Off
MPI Enabled: On
ParaView Build ID: superbuild 8c0f929966f005396802f3b2957c734a6c68b3c1 (!1292)
Disable Registry: Off
Test Directory:
Data Directory:
SMP Backend: TBB
SMP Max Number of Threads: 16
OpenGL Vendor: NVIDIA Corporation
OpenGL Version: 3.2.0 NVIDIA 570.195.03
OpenGL Renderer: NVIDIA T600 Laptop GPU/PCIe/SSE2
Accelerated filters overrides available: No
Connection Information:
Remote Connection: No