aiida-common-workflows | common workflow interfaces across materials-science codes

by aiidateam Python Version: 1.0.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | aiida-common-workflows Summary

aiida-common-workflows is a Python library. aiida-common-workflows has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However aiida-common-workflows build file is not available. You can install using 'pip install aiida-common-workflows' or download it from GitHub, PyPI.

The AiiDA common workflows project provides computational workflows, implemented in AiiDA, to compute various material properties using any of the quantum engines that implement it. The distinguishing feature is that the interfaces of the AiiDA common workflows are uniform, independent of the quantum engine that is used underneath to perform the material property simulations. These common interfaces make it trivial to switch from quantum engine. In addition to the common interface, the workflows provide input generators that automatically define the required inputs for a given task and desired computational precision. For more information, please refer to the online documentation.

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Support

aiida-common-workflows has a low active ecosystem.

It has 40 star(s) with 24 fork(s). There are 13 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 45 open issues and 65 have been closed. On average issues are closed in 76 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of aiida-common-workflows is 1.0.1

Quality

aiida-common-workflows has 0 bugs and 0 code smells.

Security

aiida-common-workflows has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

aiida-common-workflows code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

aiida-common-workflows is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

aiida-common-workflows releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

aiida-common-workflows has no build file. You will be need to create the build yourself to build the component from source.

It has 6074 lines of code, 435 functions and 104 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed aiida-common-workflows and discovered the below as its top functions. This is intended to give you an instant insight into aiida-common-workflows implemented functionality, and help decide if they suit your requirements.

Commandline interface for EOS .
Command line tool .
Disassociation curve .
Prepare calculation parameters
Determine the magnetic magnetic field .
Plot eos .
Plot dissociation curve .
Get the parameters for a given key .
Generate inputs .
Generate inputs for a given protocol .

Get all kandi verified functions for this library.

aiida-common-workflows Key Features

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aiida-common-workflows Examples and Code Snippets

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Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install aiida-common-workflows

You can install using 'pip install aiida-common-workflows' or download it from GitHub, PyPI.
You can use aiida-common-workflows like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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