Skip to main content

PyAnsys Python PyPI GH-CI codecov MIT Black pre-commit.ci status

Overview

PyFluent-Visualization provides post-processing and visualization capabilities for PyFluent using PyVista and Matplotlib.

Documentation and issues

For comprehensive information on PyFluent-Visualization, see the latest release documentation.

In the upper right corner of the documentation’s title bar, there is an option for switching from viewing the documentation for the latest stable release to viewing the documentation for the development version or previously released versions.

On the PyFluent Visualization Issues page, you can create issues to submit questions, reports burgs, and request new features. To reach the project support team, email pyansys.core@ansys.com.

Installation

The ansys-fluent-visualization package supports Python 3.10 through Python 3.14 on Windows and Linux.

If you are using Python 3.10, download and install the wheel file for the vtk package from here for Windows or from here for Linux.

Install the latest release from PyPI with:

pip install ansys-fluent-visualization

There are optional dependencies depending on the desired usage mode. To run the plotter in interactive mode, install with:

pip install ansys-fluent-visualization[interactive]

For interactive mode with graphics displayed in a single Qt window using multiple tabs, install with:

pip install ansys-fluent-visualization[single-window]

Alternatively, install the latest release from GitHub with:

pip install git+https://github.com/ansys/pyfluent-visualization.git

If you plan on doing local development of PyFluent-Visualization with Git, install with:

git clone https://github.com/ansys/pyfluent-visualization.git
cd pyfluent-visualization
pip install pip -U
pip install -e .

Dependencies

You must have a licensed copy of Ansys Fluent installed locally. PyFluent-Visualization supports Ansys Fluent 2022 R2 and later.

Getting started

Basic usage

The following code assumes that a PyFluent session has already been created and a Fluent case with input parameters has been set up. For a complete example, see Analyzing your results in the PyFluent-Visualization documentation.

from ansys.fluent.visualization import Contour, GraphicsWindow
from ansys.fluent.core.solver import VelocityInlets, PressureOutlets, using
from ansys.units import VariableCatalog

graphics_window = GraphicsWindow()

# Use an existing PyFluent solver session for the duration of this block
with using(solver_session):
   # Define a contour plot of static pressure across all velocity inlets and pressure outlets
    pressure_contour = Contour(field=VariableCatalog.STATIC_PRESSURE, surfaces=VelocityInlets() + PressureOutlets())
    graphics_window.add_graphics(pressure_contour)
    graphics_window.show()

Usage in a JupyterLab environment

PyFluent-Visualization uses PyVista, which has the ability to display fully featured plots within a JupyterLab environment using ipyvtklink. Find out about using ipyvtklink with PyVista here <https://docs.pyvista.org/user-guide/jupyter/ipyvtk_plotting.html>

License and acknowledgments

PyFluent-Visualization is licensed under the MIT license.

PyFluent-Visualization makes no commercial claim over Ansys whatsoever. This tool extends the functionality of Ansys Fluent by adding a Python interface to Fluent without changing the core behavior or license of the original software. The use of the interactive Fluent control of PyFluent-Visualization requires a legally licensed local copy of Fluent.

For more information on Fluent, visit the Fluent page on the Ansys website.

Release files for ansys-fluent-visualization 0.28.0

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-fluent-visualization 0.28.0
File Size Uploaded
ansys_fluent_visualization-0.28.0.tar.gz 49.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for ansys-fluent-visualization 0.28.0
File Interpreter ABI Platform
ansys_fluent_visualization-0.28.0-py3-none-any.whl Python 3 none any Details

Total release size: 133.9 kB

Release files / ansys_fluent_visualization-0.28.0.tar.gz

Download URL ansys_fluent_visualization-0.28.0.tar.gz
Size 49.9 kB
Tags Source
SHA-256 checksum
How to use checksums
f5bcdaa9c0a3c34f2b8966cb466d36513f441bcaf4bb3e39efa4f7ea97757d5e
BLAKE2b-256 checksum
How to use checksums
c2346a35e2bb57024a746d0c2372e34a2a7947824332364be12fe808d84d5586
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 7, 2026.

Transparency log

Release files / ansys_fluent_visualization-0.28.0-py3-none-any.whl

Download URL ansys_fluent_visualization-0.28.0-py3-none-any.whl
Size 84.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
25dfc4364125abcd7e0bc4c77776ff73f8d75d672b3a1428eb9ee8a95a593e2d
BLAKE2b-256 checksum
How to use checksums
817fc2f1a0ac473e1d918b407c79cac583d49b0d6f9b8c9048bf4495d2cae566
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 7, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.28.0 This release

2 release files

0.26.0

2 release files

0.24.0

2 release files

0.23.0

2 release files

0.22.1

2 release files

0.22.0

2 release files

0.21.0

2 release files

0.20.0

2 release files

0.19.2

2 release files

0.19.1

2 release files

0.19.0

2 release files

0.18.0

2 release files

0.17.0

2 release files

0.15.0

2 release files

0.14.0

2 release files

0.12.0

2 release files

0.11.0

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.1

2 release files

0.7.0

2 release files

0.6.1

2 release files

0.6.0

2 release files

0.5.1

2 release files

0.5.0

2 release files

0.4.1

2 release files

0.4.0

2 release files

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