Getting started#
The Data Processing Framework (DPF) provides numerical simulation users and engineers with a toolbox for accessing and transforming simulation data. DPF can access data from Ansys solver result files as well as from several neutral file formats. For more information, see Introduction.
This workflow-based framework allows you to perform complex preprocessing and postprocessing operations on large amounts of simulation data.
PyDPF-Core is a Python client API communicating with a DPF Server, either through the network using gRPC or directly in the same process.
Short overview of the installation steps to get started with PyDPF-Core.
Learn how to install the PyDPF-Core python package.
Learn how to install the DPF Server.
Learn about the compatibility between PyDPF-Core and DPF Server versions.
Learn about the licensing requirements for using PyDPF-Core and DPF Server.
Learn about the dependencies required to use PyDPF-Core.