Software for the practical analysis of materials

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Project description

https://gricad-gitlab.univ-grenoble-alpes.fr/ttk/spam/badges/master/build.svg https://gricad-gitlab.univ-grenoble-alpes.fr/ttk/spam/badges/master/coverage.svg

Spam is a piece of Python software built upon NumPy and SciPy for the analysis and manipulation of 3D and 2D data sets in material science, be they from x-ray tomography, random fields or any other source.

A number of common functions are provided that are either lacking or slow in Numpy and Scipy, which are expected to be used by users within new python scripts. These functions are in the tools/ directory, and include tools to work with random fields, morphological operations, digital image correlation, and labelled images. Some of spam’s functions transparently call C/C++ functions for speed.

Some user-callable scipts are also provided – they are more complex pieces of code that combine a number of functions and which have a command-line interface. For the moment the clients are 3 different image correlation techniques.

Please have a look at our online documentation for:

If you find bugs, need help, or want to talk to the developers, we use a riot/matrix.org chat room for organisation, please join it here and come and talk to us – it is easy, there is a chat client that can run in your web broswer. All you need to do is choose a user name!

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Release history Release notifications | RSS feed

0.7.1.0

0.7.0.1

0.7 yanked

Reason this release was yanked:

premature windows release

0.6.5.2

0.6.5.1

0.6.5

0.6.4

0.6.3.2

0.6.3.1

0.6.3

0.6.2.1

0.6.2

0.6.1.3

0.6.1.2

0.6.1.1

0.6.1

0.6.0.3

0.6.0.2

0.6.0.1

0.6.0.0

0.5.3.4

0.5.3.3

0.5.3.2

0.5.3.1

0.5.3

0.5.2.1

0.5.2

0.5.1.5

0.5.1.4

0.5.1.3

0.5.1.2

0.5.1.1

0.5.1

0.5.0

0.4.3

0.4.2

0.4.1

0.4.0

0.3.3

0.3.2.1

0.3.2

0.3.1

0.3.0

0.2.2.2

0.2.2.1

This version

0.2.2

0.2.1

0.2.0

0.1.3

0.1.2

0.1.1

0.1.0

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spam-0.2.2-cp36-cp36m-manylinux1_x86_64.whl (9.3 MB view details)

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spam-0.2.2-cp34-cp34m-manylinux1_x86_64.whl (9.3 MB view details)

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spam-0.2.2-cp27-cp27mu-manylinux1_x86_64.whl (9.3 MB view details)

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