cffview
CFF is an abbreviation for Ansys Common Fluids Format.
A command-line tool for viewing Ansys Fluent .cas.h5 / .msh.h5 / .dat.h5 files without opening Fluent.
- Read solver settings, materials, boundary conditions, discretisation schemes, and more directly from the HDF5 file.
- Visualise mesh or data with PyVista.
Installation
PyPI
pip install cffview
From source
git clone https://github.com/preamer/cffview.git
cd cffview
pip install .
Usage
cffview <file> [options]
Options
| Option | Description |
|---|---|
--version |
Print the Fluent version of file |
--extract |
Dump raw Scheme settings to general.scm and boundary.scm |
--mesh, --showmesh |
Visualise the mesh interactively with PyVista |
--data, --plotdata |
Plot the data interactively with PyVista (may not work, depending on vtkFLUENTCFFReader) |
--solver |
Solver type, time, dimension, precision, turbulence model, energy, radiation, gravity |
--mat, --materials |
Material properties |
--bd, --boundary |
Boundary condition settings |
--interfaces |
Mesh interfaces settings |
--ne, --named-expressions |
Named expressions |
--cff, --custom-field-functions |
Custom field functions |
--units [KEYWORD ...] |
Unit table (filtered by one or more keywords; empty means default SI units) |
--disc |
Discretisation schemes and relaxation factors |
--rd, --report-definitions |
Report definitions |
--plotsets |
Plot sets |
--monitorsets |
Monitor sets |
--residuals |
Residual settings |
--iter |
Iteration / time-step settings |
--surfaces |
Surfaces settings |
--contours |
Graphics contours settings |
--vectors |
Graphics vectors settings |
--xy-plot |
Graphics xy-plot settings |
--save |
Save the output to file_name.json (if file_name not specified, it is the same as input file) |
--plot [out|xy|dat] |
Plot a data file; without TYPE, infer from the file extension |
Multiple flags can be combined freely. Case settings flags (--solver, --mat, etc.) apply to .cas.h5 files only.
Examples
# Show all settings and save to JSON
cffview case.cas.h5 --save
# Show solver configuration and boundary conditions
cffview case.cas.h5 --solver --bd
# Visualise the mesh
cffview case.cas.h5 --mesh
cffview mesh.msh.h5
# Visualise the data
cffview case.cas.h5 --data
# Check the Fluent version of file
cffview case.cas.h5 --version
# Extract raw Scheme strings for manual inspection
cffview case.cas.h5 --extract
Demo
https://github.com/user-attachments/assets/7f97b559-87fa-4822-be9f-4e82b8c5cab6
License
1 maintainer
Release files for cffview 0.4.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cffview-0.4.4.tar.gz | 24.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cffview-0.4.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.4 kB
Release files / cffview-0.4.4.tar.gz
| Download URL | cffview-0.4.4.tar.gz |
|---|---|
| Size | 24.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
eee4aba219421c03432fb4dbb085ca417c66d9fb42a8a1a8914c79a81a3b404e
|
|
BLAKE2b-256 checksum How to use checksums |
43ff04c5ccb9ec709c6dfd05f793c4dd89d5810f7bac14a56aa10fbf812bf85f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 24, 2026.
Transparency logRelease files / cffview-0.4.4-py3-none-any.whl
| Download URL | cffview-0.4.4-py3-none-any.whl |
|---|---|
| Size | 24.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e2b20376aa87858806276a2360c6883dcc6cb847f43a92bc45a6ece5e53f6ae9
|
|
BLAKE2b-256 checksum How to use checksums |
0e919a9bf295883e7e38eec928610f231a50c07902e77300ae2d7f202deb018c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 24, 2026.
Transparency log
