Skip to main content

A software tool for response analysis of graph networks.

Project description

ResponseGT

ResponseGT is a software that computes electrical/mechanical flow within a graph network.

1. Prerequisites

This software requires Python version 3.12. Install it from here.

2 Installation

The software can be installed via pip or Conda.

2a. Install via pip

To install the software via pip:

pip install rgtlib

2b. Install via Conda

To install the software via Conda:

conda install -c conda-forge rgtlib

3. Usage

To run the GUI application, please follow these steps:

  • Open a terminal application such as CMD and execute the following command:
ResponseGT

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

rgtlib-1.1.7.tar.gz (211.4 kB view details)

Uploaded Source

Built Distribution

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

rgtlib-1.1.7-py3-none-any.whl (226.9 kB view details)

Uploaded Python 3

File details

Details for the file rgtlib-1.1.7.tar.gz.

File metadata

  • Download URL: rgtlib-1.1.7.tar.gz
  • Upload date:
  • Size: 211.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for rgtlib-1.1.7.tar.gz
Algorithm Hash digest
SHA256 87505b4d676e8e0a7f8a573f4a65b1f1dbfe785e0d73c93237494aadd385a685
MD5 52fb1e54d13e4f33a96e8f04ff00bbcd
BLAKE2b-256 c8b7703e55f1f1c030d029c6a29ae564b156872869f890703e94df66e93dfeb2

See more details on using hashes here.

File details

Details for the file rgtlib-1.1.7-py3-none-any.whl.

File metadata

  • Download URL: rgtlib-1.1.7-py3-none-any.whl
  • Upload date:
  • Size: 226.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.10

File hashes

Hashes for rgtlib-1.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 283c02fcef07aaa423d29003d2963cc752b9b7a6777706328859267aa456fcff
MD5 f76d29c3286c352cbce717690f718f15
BLAKE2b-256 82b5cdb011ffdbdb016b4de7e6fe4f9c33635dd3d303271427009131a61d62e7

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