Interactive Streamlit app for computational elliptic Fourier analysis of particle shapes.
Project description
Computational Elliptic Fourier Analysis
An interactive Streamlit web app for particle shape analysis using EFA.
Quick Start
- Launch App: computational-elliptic-fourier-analysis-1.streamlit.app
- Download Test Data:
test_data.csv(set px/mm = 77) - Read Manual:
User Manual (PDF)
Install from PyPI
pip install efa-gui
efa-gui
Publish to PyPI
Create a PyPI API token, then run these two commands from the project root:
$env:TWINE_PASSWORD='pypi-your-token-here'
powershell -ExecutionPolicy Bypass -File .\publish.ps1
Citation
If you use this app or code in your work, please cite:
Boribayeva, A., Sultaniyar, S., Lukmanov, I., Baigarina, A., Rojas-Solórzano, L. R., Curtis, J. S., Govender N. & Golman, B. (2026). Integrated characterization, classification, and quasi-3D reconstruction of highly irregular particles using multiscale shape descriptors for predictive DEM flow simulation. Powder Technology, 122435.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file efa_gui-1.0.1.tar.gz.
File metadata
- Download URL: efa_gui-1.0.1.tar.gz
- Upload date:
- Size: 1.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
28a2048b481d8703c095edf900d383915cc67c4e7fc2f378e99a2a2a46663de1
|
|
| MD5 |
b3f2bc06f902f148bfada39a6a673a72
|
|
| BLAKE2b-256 |
c87580f5aba3614344275eea5d7e1b8bbf5a29bad2143cc509a1c86fbff6e465
|
File details
Details for the file efa_gui-1.0.1-py3-none-any.whl.
File metadata
- Download URL: efa_gui-1.0.1-py3-none-any.whl
- Upload date:
- Size: 1.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3ab73188bf5d17a158eda079909849bdb6155f6a281f85ffc5745cc1041f65ec
|
|
| MD5 |
ee1e799184aa77be11d9614a1c9dd570
|
|
| BLAKE2b-256 |
06b9fcba61c55b379bef76856a661a5d833d7b416618a781312603bd6ff25611
|
