Overview
Mimetica is a software package for analysing microCT scans. It can load a stack of scans and compute the radial and phase profiles of the material fraction of each layer. The results can also be exported to CSV for further analysis. Mimetica was written in Python using PySide6 as the GUI framework.
Installation
Create a new Python environment and run
pip install mimetica
After that, you can launch the program from the terminal:
mimetica
You can see the available CLI options with the --help argument:
mimetica --help
You should see the following output:
Usage: mimetica [OPTIONS]
Input: [mutually exclusive]
Open one or more images.
-i, --image TEXT Open a single image.
-s, --stack TEXT Open a stack (directory of images).
Other options:
--help Show this message and exit.
For instance, to open a single image or a stack (a directory of images) from the CLI:
mimetica -s <path_to_directory>
Metadata
Release files for mimetica 0.2.5.post4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mimetica-0.2.5.post4.tar.gz | 17.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mimetica-0.2.5.post4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 40.0 kB
Release files / mimetica-0.2.5.post4.tar.gz
| Download URL | mimetica-0.2.5.post4.tar.gz |
|---|---|
| Size | 17.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Provenance
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Transparency logRelease files / mimetica-0.2.5.post4-py3-none-any.whl
| Download URL | mimetica-0.2.5.post4-py3-none-any.whl |
|---|---|
| Size | 22.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Jan 15, 2026.
Transparency log