GridDataFormats | pure Python library to handle data

by MDAnalysis Python Version: 1.0.2 License: LGPL-3.0

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

kandi X-RAY | GridDataFormats Summary

GridDataFormats is a Python library. GridDataFormats has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can install using 'pip install GridDataFormats' or download it from GitHub, PyPI.

GridDataFormats is a pure Python library to handle data on a regular grid using commonly used file formats in molecular simulations.

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Quality

Security

License

Reuse

Support

GridDataFormats has a low active ecosystem.

It has 27 star(s) with 15 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 62 have been closed. On average issues are closed in 231 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of GridDataFormats is 1.0.2

Quality

GridDataFormats has 0 bugs and 0 code smells.

Security

GridDataFormats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

GridDataFormats code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

GridDataFormats is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

GridDataFormats releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

GridDataFormats saves you 1581 person hours of effort in developing the same functionality from scratch.

It has 3315 lines of code, 220 functions and 19 files.

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

Top functions reviewed by kandi - BETA

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

Return a dict of the command - line tool
Build a ConfigParser from a root
Get project root directory
Extract version information from VCS
Write the field to a file
Return an iterator over the components
Opens a file writing
Read the plot
Calculate the diagonal of the image
Read the header
Create the versioneer config file
Install versioneer
Write this array to the given stream
Write line to stream
Load a matplotlib plot
Load from a file
Load the graph from a python file
Load a MRC file
Write grid positions to stream
Write the object to the given stream
Scans the setup py file and checks if it is missing
Parse the DXField from the given stream
The interpolation order
Extracts an ISOPDB file
Extract version information from setup py
Parse arguments

Get all kandi verified functions for this library.

GridDataFormats Key Features

No Key Features are available at this moment for GridDataFormats.

GridDataFormats Examples and Code Snippets

No Code Snippets are available at this moment for GridDataFormats.

Community Discussions

No Community Discussions are available at this moment for GridDataFormats.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install GridDataFormats

You can install using 'pip install GridDataFormats' or download it from GitHub, PyPI.
You can use GridDataFormats 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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