OpenPNM | Python package for performing pore network | Data Visualization library

by PMEAL Python Version: 3.4.1 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | OpenPNM Summary

OpenPNM is a Python library typically used in Analytics, Data Visualization applications. OpenPNM has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install OpenPNM' or download it from GitHub, PyPI.

OpenPNM is a comprehensive framework for performing pore network simulations of porous materials.

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Quality

Security

License

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Support

OpenPNM has a low active ecosystem.

It has 364 star(s) with 160 fork(s). There are 31 watchers for this library.

It had no major release in the last 12 months.

There are 53 open issues and 1554 have been closed. On average issues are closed in 73 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of OpenPNM is 3.4.1

Quality

OpenPNM has 0 bugs and 0 code smells.

Security

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

OpenPNM code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

OpenPNM 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

OpenPNM releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions are not available. Examples and code snippets are available.

OpenPNM saves you 14323 person hours of effort in developing the same functionality from scratch.

It has 31172 lines of code, 2052 functions and 341 files.

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

Top functions reviewed by kandi - BETA

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

Plot the coordinates of a network
Convert locations to indices
Label axes
Scale axes
Export a project to an xmf file
Joins two graphs
Convert a project into a nested dict
Convert a project to a paraview
Convert to a dict
Plot a 2D networkx
Convenience function to create face sites
Add a model to the model
R Join two nodes
R Stops a network connecting two pores
Finds all connected nodes in a network
Wrapper function for chemical effects
Generate a CBCC curve
Convert network to STL
Constructs Delaunay triangulation triangulation
Plot the connectivity of a network
Creates a network structure from a STatoil
Plot edges
Plot a 3D network
Export a project to vtk format
Convert a network to Poreos format
Create a network structure from a marock file

Get all kandi verified functions for this library.

OpenPNM Key Features

No Key Features are available at this moment for OpenPNM.

OpenPNM Examples and Code Snippets

No Code Snippets are available at this moment for OpenPNM.

Community Discussions

Trending Discussions on OpenPNM

RAM is not freed after a Python function is invoked

QUESTION

RAM is not freed after a Python function is invoked

Asked 2018-Mar-12 at 17:31

I'm using an in-house Python library for scientific computing. I need to consecutively copy an object, modify it, and then delete it. The object is huge which causes my machine to run out of memory after a few cycles.

The first problem is that I use python's del to delete the object, which apparently only dereferences the object, rather than freeing up RAM.

The second problem is that even when I encapsulate the whole process in a function, after the function is invoked, the RAM is still not freed up. Here's a code snippet to better explain the issue.

...

ANSWER

Answered 2018-Mar-12 at 17:31

There are some really smart python people on here. They may be able to tell you better ways to keep your memory clear, but I have used leaky libraries before, and found one (so-far) foolproof way to guarantee that your memory gets cleared after use: execute the memory hog in another process.

To do this, you'd need to arrange for an easy way to make your long calculation be executable separately. I have done this by adding special flags to my existing python script that tells it just to run that function; you may find it easier to put that function in a separate .py file, e.g.:

do_something_with.py

Source https://stackoverflow.com/questions/49238981

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

Vulnerabilities

No vulnerabilities reported

Install OpenPNM

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

Github now has a Discussions function, which works similarly to stack overflow. Please post your question in the Q&A category so devs or users can provide answers, vote on accepted answers, improve on each other's answers, and generally discuss things. Most importantly, all answers are searchable so eventually, once enough questions have been posted and answered, you can find what you're looking for with a simple search.

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