NeuroML2 | repository hosts the NeuroML 2 Schema

by NeuroML Python Version: jNeuroML_v0.11.0 License: LGPL-3.0

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

kandi X-RAY | NeuroML2 Summary

NeuroML2 is a Python library. NeuroML2 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 download it from GitHub.

This repository hosts the NeuroML 2 Schema, the ComponentType definitions in LEMS and the core documentation of NeuroML2.

Support

Quality

Security

License

Reuse

Support

NeuroML2 has a low active ecosystem.

It has 45 star(s) with 25 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 56 open issues and 71 have been closed. On average issues are closed in 370 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NeuroML2 is jNeuroML_v0.11.0

Quality

NeuroML2 has 0 bugs and 0 code smells.

Security

NeuroML2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

NeuroML2 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NeuroML2 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

NeuroML2 releases are available to install and integrate.

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

NeuroML2 saves you 10557 person hours of effort in developing the same functionality from scratch.

It has 21443 lines of code, 16 functions and 54 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed NeuroML2 and discovered the below as its top functions. This is intended to give you an instant insight into NeuroML2 implemented functionality, and help decide if they suit your requirements.

Update the XSD file
Format a description
Replace underscores and URLs
Return a link to a specific component type
Compare two XML files
Add a component type and its children
Format an expression
Format a simple description element
Return a category
Return a link to a component type
Returns the extended component of a given component
Mark as exposed as a message
Generate a dimension description

Get all kandi verified functions for this library.

NeuroML2 Key Features

No Key Features are available at this moment for NeuroML2.

NeuroML2 Examples and Code Snippets

No Code Snippets are available at this moment for NeuroML2.

Community Discussions

No Community Discussions are available at this moment for NeuroML2.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install NeuroML2

You can download it from GitHub.
You can use NeuroML2 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 .

Find more information at: