semvec/pypi-packages huggingface dataset:
aurelia 0.1.0
Simulate realistic ARPES spectra with experimental artifacts for analysis and machine-learning applications.
License: MIT
Requires Python: >=3.8

# aurelia
*Simulate realistic ARPES spectra with experimental artifacts for analysis and machine-learning applications.*

Developed by MengXing Na and Matteo Michiardi.  

[![PyPI version](https://badge.fury.io/py/aurelia.svg)](https://pypi.org/project/aurelia/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

---

## Features

- Generate randomized tight-binding band structures — or import your own  
- Compute spectral functions, including Fermi-liquid and electron-boson kink-like self-energies  
- Add experimental effects: offset angles, rotations, flake domains, background, and detector sensitivities  
- Simulate ARPES spectra statistically across many electron events  

## Installation

You can install `aurelia` directly from PyPI:

```bash
pip install aurelia
```
## Usage

See the [examples](examples/) folder for sample scripts to get started.  
Full documentation is available on the [Wiki](https://github.com/qmlab-ubc-ca/aurelia/wiki).

## License

This project is licensed under the MIT License — see the LICENSE file for details.

## Contact

For questions not covered in the documentation, or for collaborations, feel free to reach out: mengxing.na@gmail.com
---
vstt 1.6.0
Visuomotor Serial Targeting Task (VSTT)
License: MIT
Requires Python: >=3.7

# Visuomotor Serial Targeting Task (VSTT)

[![PyPI](https://img.shields.io/pypi/v/vstt.svg)](https://pypi.org/project/vstt)
[![Docs](https://readthedocs.org/projects/vstt/badge/?version=main)](https://vstt.readthedocs.io)
[![CI](https://github.com/ssciwr/vstt/actions/workflows/ci.yml/badge.svg)](https://github.com/ssciwr/vstt/actions/workflows/ci.yml)
[![Coverage](https://codecov.io/gh/ssciwr/vstt/branch/main/graph/badge.svg?token=sjsAdTyLH1)](https://codecov.io/gh/ssciwr/vstt)
[![Sonar](https://sonarcloud.io/api/project_badges/measure?project=ssciwr_vstt&metric=alert_status)](https://sonarcloud.io/summary/new_code?id=ssciwr_vstt)

Visuomotor Serial Targeting Task (VSTT)

VSTT is an open source Python GUI tool for designing,
running and analyzing motor skill acquisition experiments.

See [vstt.readthedocs.io](https://vstt.readthedocs.io/) for more information.

![screenshot](https://raw.githubusercontent.com/ssciwr/vstt/main/docs/quickstart/images/gui.png)

![screenshot](https://raw.githubusercontent.com/ssciwr/vstt/main/docs/quickstart/images/results.png)