PyAnsys metapackage

Welcome to the PyAnsys metapackage repository. The pyansys metapackage provides a single package of collected PyAnsys packages that ensures compatibility of these packages amongst themselves and the Ansys product release that they are linked to.

The pyansys metapackage ensures compatibility between these PyAnsys packages:

• PyAdditive: Pythonic interface to the Ansys Additive service.
• PyAEDT: Pythonic interface to AEDT (Ansys Electronics Desktop).
• PyAnsys Geometry: Pythonic interface to the Ansys Geometry service.
• PyAnsys Math: Pythonic interface to PyAnsys Math libraries.
• PyDPF - Core: Pythonic interface to Ansys DPF (Data Processing Framework) for building more advanced and customized workflows.
• PyDPF - Post: Pythonic interface to access and post process Ansys solver result files.
• PyDPF - Composites: Pythonic interface for DPF's postprocessing of layered and short-fiber composite models.
• PyDyna: Pythonic interface to build the Ansys DYNA input deck, submit it to the Ansys LS-DYNA solver and postprocess its results.
• PyDynamicReporting: Pythonic interface to Ansys Dynamic Reporting for service and control of its database and reports.
• PyEnSight: Pythonic interface to EnSight, the Ansys simulation postprocessor.
• PyFluent: Pythonic interface to Ansys Fluent.
• PyFluent - Parametric: Pythonic interface to Ansys Fluent parametric workflows.
• PyFluent - Visualization: Pythonic interface to visualize Ansys Fluent simulations.
• PyMAPDL: Pythonic interface to Ansys MAPDL (Mechanical APDL).
• PyMAPDL Reader: Pythonic interface to read legacy MAPDL result files (MAPDL 14.5 and later).
• PyMechanical: Pythonic interface to Ansys Mechanical.
• PyMotorCAD: Pythonic interface to Ansys Motor-CAD.
• PyOptislang: Pythonic interface to Ansys Optislang.
• PyPIM: Pythonic interface to communicate with the Ansys PIM (Product Instance Management) API.
• PyPrimeMesh: Pythonic interface to Ansys Prime Server, which delivers core Ansys meshing technology.
• PySeascape: Pythonic interface to communicate with Ansys RedHawkSC and TotemSC.
• PySherlock: Pythonic interface to communicate with Ansys Sherlock.
• PySystemCoupling: Pythonic interface to communicate with Ansys System Coupling.
• PyTurboGrid: Pythonic interface to Ansys TurboGrid, a high-quality turbomachinery meshing software app.
• PyTwin: Pythonic interface to communicate with consumption workflows for Ansys digital twins.
• Granta MI BoM Analytics: Pythonic interface to Ansys Granta MI BoM Analytics services.
• Granta MI RecordLists: Pythonic interface to Ansys Granta MI Lists API.
• Shared Components: Shared Ansys software components to enable package interoperability and minimize maintenance.

Other tools delivered as part of the metapackage are:

• Ansys Tools Path: Library to locate Ansys products in a local machine.
• Ansys Tools Protobuf Compilation Helper: Utility library to compile .proto files to Python source when building the package wheel.
• PyAnsys Tools Report: Tool for reporting your Python environment's package versions and hardware resources in a standardized way.
• PyAnsys Tools Versioning: Tool for backwards and forwards server support.
• PyAnsys Units: Pythonic interface for units, unit systems, and unit conversions.

Much effort is underway to continue expanding and developing packages in the PyAnsys GitHub account. On the Issues page for each package, you can post issues and request new features. You can also feel free to post a question on the Ansys Developer Forums.

By default, the PyAnsys metapackage installs these core modules:

• PyAdditive
• PyAEDT
• PyAnsys Geometry
• PyAnsys Math
• PyDPF - Core
• PyDPF - Post
• PyDPF - Composites
• PyDyna
• PyDynamicReporting
• PyEnSight
• PyFluent
• PyMAPDL
• PyMechanical
• PyMotorCAD
• PyOptislang
• PyPIM
• PyPrimeMesh
• PySeascape
• PySherlock
• PySystemCoupling
• PyTurboGrid
• PyTwin
• Granta MI BoM Analytics
• Granta MI RecordLists
• Shared Components

Additionally, the pyansys metapackage contains certain extra targets that can be installed upon request:

• mapdl-all: This target installs the core packages and PyMAPDL Reader.
• fluent-all: This target installs the core packages, PyFluent - Parametric, and PyFluent - Visualization.
• tools: This target installs the core packages, Ansys Tools Path, Ansys Tools Protobuf Compilation Helper, PyAnsys Tools Versioning, PyAnsys Tools Report, and PyAnsys Units.
• all: This target installs all extra pyansys packages.

Package installation

Two installation modes are provided: user and offline.

User mode installation

Before installing the pyansys metapackage in user mode, ensure that you have the latest version of pip with this command:

python -m pip install -U pip

Then, install the pyansys metapackage with this command:

python -m pip install pyansys

If you are interested in installing an extra target such as fluent-all, you use a command like this:

python -m pip install pyansys[fluent-all]

If you are interested in installing a specific version such as 2023.1.0, you use a command like this:

python -m pip install pyansys==2023.1.0

Offline mode installation

If you lack an internet connection on your installation machine, the recommended way of installing the pyansys metapackage is downloading the wheelhouse archive from the Releases Page for your corresponding machine architecture.

Each wheelhouse archive contains all the Python wheels necessary to install the pyansys metapackage from scratch on Windows, Linux, and MacOS from Python 3.9 to 3.11. You can install this on an isolated system with a fresh Python installation or on a virtual environment.

For example, on Linux with Python 3.9, unzip the wheelhouse archive and install it with the following commands:

unzip pyansys-v2024.2.dev0-wheelhouse-Linux-3.9-core.zip wheelhouse
pip install pyansys -f wheelhouse --no-index --upgrade --ignore-installed

If you're on Windows with Python 3.9, unzip to a wheelhouse directory and then install using the same pip command as in the previous example.

Consider installing using a virtual environment.

Versioning system

The pyansys metapackage follows a semantic-like versioning system, though it has been adapted to the Ansys product release mechanism. Thus, this kind of versioning system is followed:

XXXX.Y.ZZ

Where:

• XXXX is the Ansys product release year (for example, 2022).
• Y is the Ansys product release within the same year (for example, 1, which relates to R1).
• ZZ is a patched version to the pyansys metapackage, if any.

Consequently, the first pyansys metapackage compatible with the 2024 R2 release would be:

2024.2.0

Any subsequent patched version of this package would be:

2024.2.1
2024.2.2
2024.2.3
...

You can request a specific version install when using pip to install your package:

python -m pip install pyansys==2024.2.0

License and acknowledgments

All PyAnsys libraries are licensed under the MIT license.

PyAnsys libraries make no commercial claim over Ansys whatsoever. These libraries extend the functionality of Ansys products by adding Python interfaces to legally obtained software products without changing the core behaviors or licenses of the original software.

For more information on Ansys products, visit the Ansys web site.