Skip to main content

MaRCoS Graphical Environment (MaRGE)

Project description

MaRGE (MaRCoS Graphical Environment)

🚀 Version 1.0.0 coming soon — stay tuned!

MaRGE is a Python-based graphical environment for interacting with the MaRCoS MRI research system. It provides a user-friendly GUI for running MRI sequences, configuring parameters, and managing experiments without needing to work directly with low-level control code.

MaRGE is designed for MRI researchers, developers, and students working with the MaRCoS platform.


Preview

MaRGE GUI

Features

🧲 Graphical interface for MaRCoS MRI experiments

⚙️ Sequence configuration and execution

🧪 Research-oriented workflow

🧩 Extensible sequence architecture

🐍 Fully Python-based

Installation with pip

Install MaRGE with pip if you only need to run the GUI and do not plan to modify the source code or add custom sequences.

pip install marge-mri

Launch the GUI with:

# Import marge
from marge import main

# Run MaRGE
main.MaRGE()

Installation from source (Developer mode)

Use this method if you want to modify the codebase or include your own sequences.

git clone https://github.com/josalggui/MaRGE.git

Create and activate a virtual environment (recommended):

python -m venv venv
source venv/bin/activate   # Linux/macOS
venv\Scripts\activate      # Windows

Install requirements

pip install -r requirements.txt

Full Installation (MaRGE + MaRCoS Setup)

For a complete installation including MaRCoS configuration, hardware setup, and developer options, please follow the detailed step-by-step guide in the Wiki:

👉 Full Installation Guide

Requirements

  • Python 3.10 or newer

  • A working MaRCoS system installation with static IP address

  • Supported OS: (update — Linux / Windows / macOS as applicable)

Documentation

📖 Wiki: https://github.com/josalggui/MaRGE/wiki (under development)

📚 Documentation site: https://josalggui.github.io/MaRGE/ (under development)

📦 PyPI package: https://pypi.org/project/marge-mri/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

marge_mri-1.0.0b1.tar.gz (8.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

marge_mri-1.0.0b1-py3-none-any.whl (8.4 MB view details)

Uploaded Python 3

File details

Details for the file marge_mri-1.0.0b1.tar.gz.

File metadata

  • Download URL: marge_mri-1.0.0b1.tar.gz
  • Upload date:
  • Size: 8.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for marge_mri-1.0.0b1.tar.gz
Algorithm Hash digest
SHA256 76f8755b9e786d9bdfd9faf0e2e5837228ce612f412f6a559fe04376ccf3ace5
MD5 3486a99fb06fb2e4583b32f05c011421
BLAKE2b-256 ea3b674dd83e546ff305ed7f44ba7c648107a11069b80df4fc05ff774db88216

See more details on using hashes here.

File details

Details for the file marge_mri-1.0.0b1-py3-none-any.whl.

File metadata

  • Download URL: marge_mri-1.0.0b1-py3-none-any.whl
  • Upload date:
  • Size: 8.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.12

File hashes

Hashes for marge_mri-1.0.0b1-py3-none-any.whl
Algorithm Hash digest
SHA256 cb6075ca5ab9fda1ab2c907df25598835ebcff1c481015aacc9bad4f69be3d77
MD5 123c1a75c9effe7a948a04fdd41fbe2f
BLAKE2b-256 11adcb55f50e30819a1af888f70274dd500337a2f80fe3e5b883522eddf7c614

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page