Skip to main content

Python Qt5 application to visualize MDA data.

Project description

mdaviz

Python Qt5 application to visualize mda data.

How to run this code?

First said, this software application is pre-release and may contain significant unhandled bugs. Please report any you encounter or feature requests, too.

Suggested installation for developers is to use pip with its editable mode:

This project is still in development. We have plans for production release. Until the production release, you should run mdaviz as would a developer by following these instructions:

  1. Navigate to a directory where you have similar software projects
  2. git clone https://github.com/BCDA-APS/mdaviz
    • only need to do this once, assumes you have git command
  3. cd mdaviz
  4. conda env create --force -n mdaviz -f ./env.yml
    • only need to do this once, assumes you have conda command
  5. conda activate mdaviz
  6. pip install -e .
  7. mdaviz &

Acknowledgements

"This product includes software produced by UChicago Argonne, LLC under Contract No. DE-AC02-06CH11357 with the Department of Energy."

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

mdaviz-0.0.2rc3.tar.gz (910.8 kB view details)

Uploaded Source

Built Distribution

mdaviz-0.0.2rc3-py3-none-any.whl (1.3 MB view details)

Uploaded Python 3

File details

Details for the file mdaviz-0.0.2rc3.tar.gz.

File metadata

  • Download URL: mdaviz-0.0.2rc3.tar.gz
  • Upload date:
  • Size: 910.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for mdaviz-0.0.2rc3.tar.gz
Algorithm Hash digest
SHA256 ab2b775c13f00eb4ef00b43a4e0d5644310cb443ed19c81ba074f692728c4d65
MD5 e14bac9f153b5b74cce447121b5c0aa9
BLAKE2b-256 34bea89b8d3567f1b582c24cdbf39b87d0a5bea7106061e889f8eadd3cc2026f

See more details on using hashes here.

File details

Details for the file mdaviz-0.0.2rc3-py3-none-any.whl.

File metadata

  • Download URL: mdaviz-0.0.2rc3-py3-none-any.whl
  • Upload date:
  • Size: 1.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for mdaviz-0.0.2rc3-py3-none-any.whl
Algorithm Hash digest
SHA256 420980d1f2ac55f59b9386c881e38a7b7385a7c8988b97c9ab189791dcc08d51
MD5 40b9e362a829dc0f6a768c0068dfc2b2
BLAKE2b-256 083efe441a71ee06cbc71aa379293a2d18893893865995ee1914c22873ef5123

See more details on using hashes here.

Supported by

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