Skip to main content

AiiDA plugin that wraps amber molecular dynamics executables

Project description

aiida-amber

Category Badges
Build Build Status
Documentation Docs status
Citation DOI
PyPI PyPI - Status PyPI version PyPI - Python Version PyPI - Total Downloads PyPI - Monthly Downloads
Anaconda Anaconda.org Last Updated Platforms License Downloads
Quality Coverage Status

The Amber plugin for AiiDA aims to enable the capture and sharing of the full provenance of data when parameterising and running molecular dynamics simulations. This plugin is being developed as part of the Physical Sciences Data Infrastructure programme to improve the practices around data within the Physical Sciences remit area within the UK.

This package is currently a work in progress and we will be adding much more complete functionality to this plugin in the coming months.

The design pattern we are aiming for is to simply allow researchers to capture the full data provenance for their simulations by only switching on an AiiDA conda environment, along with modifying your command lines very slightly.

This means that you should gain access to powerful FAIR data practices without wholesale cultural or usage pattern shifts in your daily work.

Documentation

See here for documentation for users and developers.

License

MIT

Contact

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

aiida_amber-2.2.0.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

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

aiida_amber-2.2.0-py3-none-any.whl (49.8 kB view details)

Uploaded Python 3

File details

Details for the file aiida_amber-2.2.0.tar.gz.

File metadata

  • Download URL: aiida_amber-2.2.0.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.32.5

File hashes

Hashes for aiida_amber-2.2.0.tar.gz
Algorithm Hash digest
SHA256 f7c3e994ea19c2868d4f1e1fa311369ca9017eadfb06fc676cbb8b8cf739e39f
MD5 a011fa02a978ae96d8dc15b86cfbead2
BLAKE2b-256 ccdf7f35b9bbca8e8968fff18c5adbfc3f2607070fdcfc156cc2a020c77d9c97

See more details on using hashes here.

File details

Details for the file aiida_amber-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: aiida_amber-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 49.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.32.5

File hashes

Hashes for aiida_amber-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a838f833230447134ebda17205ca87b677849646f5da4543f1d1225419b3ba8a
MD5 947eebaa2f1a3b6b7e3e52acdb55be91
BLAKE2b-256 b571d7f8a96a17ce0b68914f025f59411666fdafeaa81a3b6e47aa01219cb89c

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