What is Antares?

Antares helps you developing data processing applications. It has been mainly used in Computational Fluid Dynamics.

Antares is a fully documented cross-platform python application programming interface. You can use it on operating systems OS X, Windows, or Linux. It defines a set of routines and tools for building application software. The software components communicate through a specified data structure.


Features

Results generated by numerical solvers or experimental devices are often not merely usable as is. These raw data often require a transformation process so to be analysed by engineers and scientists. Antares helps making this data processing by delivering a set of features.

Antares can be inserted in your python computation process at the preprocessing or postprocessing stages, but can also be used in a co-processing workflow.

You can get another insight of Antares capabilities by visiting the tutorial pages.


Multiphysics

Aerodynamics

Turbomachinery

Aeroacoustics

Combustion

etc.

Data Analysis

1D, 2D, 3D meshes

steady and unsteady flows

structured and unstructured meshes

Signal processing

Geometrical operations

steady and unsteady flows or patterns

etc.

Data Formats

Tecplot, Fieldview, Plot3D

HDF5 (AVBP, AVTP, AVSP)

CGNS (Autogrid/IGG)

VOIR3D (elsA)

etc.

Easy of Use

Flexible and extensible

Easy to insert in your own python process

Relies on top main scientific packages (numpy, scipy, vtk, etc.)

All functionalities are described in the documentation.


Getting Started


Citing and Acknowledging Antares

Citations
Please consider citing the Antares library in a paper or a presentation with:

Here's an example of a BibTeX entry:

@MISC{antares,
author = {{Antares Development Team}},
title = {{Antares Documentation Release 1.10.0}},
year = {2012--2017},
url = {https://cerfacs.fr/antares/}
}

Acknowledgements

You can also refer to Antares in the acknowledgments with:

If expertise was provided, the following acknowledgement can be added: