nengo-1.4 | Create and run detailed neural simulations

by nengo Python Version: v1.4.1 License: No License

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

kandi X-RAY | nengo-1.4 Summary

nengo-1.4 is a Python library. nengo-1.4 has low support. However nengo-1.4 has 157 bugs, it has 7 vulnerabilities and it build file is not available. You can download it from GitHub.

Create and run detailed neural simulations

Support

Quality

Security

License

Reuse

Support

nengo-1.4 has a low active ecosystem.

It has 94 star(s) with 21 fork(s). There are 38 watchers for this library.

It had no major release in the last 12 months.

There are 146 open issues and 258 have been closed. On average issues are closed in 40 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nengo-1.4 is v1.4.1

Quality

nengo-1.4 has 157 bugs (39 blocker, 11 critical, 86 major, 21 minor) and 7532 code smells.

Security

nengo-1.4 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nengo-1.4 code analysis shows 7 unresolved vulnerabilities (6 blocker, 0 critical, 0 major, 1 minor).

There are 214 security hotspots that need review.

License

nengo-1.4 does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

nengo-1.4 releases are available to install and integrate.

nengo-1.4 has no build file. You will be need to create the build yourself to build the component from source.

nengo-1.4 saves you 179679 person hours of effort in developing the same functionality from scratch.

It has 182219 lines of code, 16105 functions and 1283 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed nengo-1.4 and discovered the below as its top functions. This is intended to give you an instant insight into nengo-1.4 implemented functionality, and help decide if they suit your requirements.

Add spikes to the image
Fix plot positions
Create the axes for this plot
Add overlays to axes
Paint the component
Round a number to a given number
Safely get index
Create an error ensemble
Creates a neural ensembl
Reads a setup file
Log a message
Check for allowed domain
Create a network
Test for tests
Compute the decoder for the model
Expand environment variables
Validate the WSGI application
Actually load a cookie file
Start the cylinder
Run the node
Parse a doctype attribute
Creates a neural network
Ticks at time t
Make a convolution layer
Implementation of Set - Cookie3
Make a urllib urllib urllib urllib urllib urllib
Render a GraphVEnsemble

Get all kandi verified functions for this library.

nengo-1.4 Key Features

No Key Features are available at this moment for nengo-1.4.

nengo-1.4 Examples and Code Snippets

No Code Snippets are available at this moment for nengo-1.4.

Community Discussions

No Community Discussions are available at this moment for nengo-1.4.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install nengo-1.4

You can download it from GitHub.
You can use nengo-1.4 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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