Skip to main content

PyTurboWizard

OSS disclaimer

PyTurboWizard depends on OSS (Open Source Software), which is subject to its own terms and conditions and might contain vulnerabilities. Ansys is not responsible for such third-party software.

You should consult your company’s software security department before installing any software on company hardware.

PyTurboWizard is licensed under the MIT License.

Overview

PyTurboWizard provides a standardized testing setup for turbomachinery cases in Ansys Fluent through Pythonic access with PyFluent. This matrix describes functionalities:

Case Fluid Inlet BC Outlet BC Expression template Stages Interface types Parametric study support
Gas turbine (compressible) Ideal air Total pressure, mass flow, volume flow Static pressure, exit corrected mass
Flow, mass flow, volume Flow Yes Unlimited General, periodic, no pitch-scale, pitch-scale, mixing plane Yes
Compressor (compressible) Ideal air Total pressure, mass flow, volume flow Static pressure, exit corrected mass
Flow, mass flow, volume flow Yes Unlimited General, periodic, no pitch-scale, pitch-scale, mixing plane Yes
Gas turbine (incompressible) Ideal air Total pressure, mass flow, volume flow Static pressure, exit corrected mass
Flow, mass flow, volume flow Yes Unlimited General, periodic, no pitch-scale, pitch-scale, mixing plane Yes
Compressor (incompressible) Ideal air Total pressure, mass flow, volume flow Static pressure, exit corrected mass
Flow, mass flow, volume flow Yes Unlimited General, periodic, no pitch-scale, pitch-scale, mixing plane Yes

Note: The default rotation axis is expected to be the z-axis (0,0,1) with axis origin (0,0,0).

Getting started

PyTurboWizard is developed for Ansys Fluent 2024 R1 and later. When running the Ansys GPU Solver, you can use PyTurboWizard with the -gpu flag in the launching options. However, not all features are supported.

Installation

You should create a dedicated Python virtual environment to install PyTurboWizard in. To quickly create and install this environment, consider using the Ansys Python Manager.

Use pip to install PyTurboWizard in this environment:

pip install ansys-ptw

All needed libraries are installed automatically.

For developers

If you plan on doing local development of PyTurboWizard with Git, install the latest release:

git clone https://github.com/ansys/pyturbowizard
pip install -e .

How to run

After installing the latest version of PyTurboWizard, you can prepare data in your working directory and then run it:

  1. Copy Fluent data, including mesh data and profiles, into you working directory.

  2. Copy a configuration file to your Fluent working directory.

  3. Adjust the configuration file to your setup. For more information, see Set up the configuration file.

  4. Execute the script:

    ansys-ptw <PathToConfigurationFile.json/yaml>

Useful documents

Metadata

Release files for ansys-ptw 0.3.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ansys-ptw 0.3.3
File Size Uploaded Provenance Actions
ansys_ptw-0.3.3.tar.gz 69.2 kB With provenance Details for ansys_ptw-0.3.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ansys-ptw 0.3.3
File Interpreter ABI Platform Actions
ansys_ptw-0.3.3-py3-none-any.whl Python 3 none any Details for ansys_ptw-0.3.3-py3-none-any.whl

Total release size: 171.0 kB

Release files / ansys_ptw-0.3.3.tar.gz

Download URL ansys_ptw-0.3.3.tar.gz
Size 69.2 kB
Tags Source
SHA-256 checksum
How to use checksums
8a47782a460635b7f772ea49df108c26002549da0367ce6fd1928b193f74bb18
BLAKE2b-256 checksum
How to use checksums
28fb89c98595c302b4963523ea74a489566df9263afeb7f20ec03f817b363966
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.13

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 17, 2026.

Transparency log

Release files / ansys_ptw-0.3.3-py3-none-any.whl

Download URL ansys_ptw-0.3.3-py3-none-any.whl
Size 101.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
52349975fff2b08235a20e0a175346e3e0e3a840174b472165f4e0ba121287bb
BLAKE2b-256 checksum
How to use checksums
8b119a2558ff8b8781d3a585849885357935eb8d89c375870b36a7cde92788af
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.13

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 17, 2026.

Transparency log

Security for ansys-ptw 0.3.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for ansys_ptw-0.3.3.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 17, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page