NeuroKit | Python Toolbox for Neurophysiological Signal Processing | Dataset library

by neuropsychology Python Version: v0.2.4 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | NeuroKit Summary

NeuroKit is a Python library typically used in Artificial Intelligence, Dataset applications. NeuroKit has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install NeuroKit' or download it from GitHub, PyPI.

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

Support

Quality

Security

License

Reuse

Support

NeuroKit has a medium active ecosystem.

It has 1027 star(s) with 313 fork(s). There are 23 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 380 have been closed. On average issues are closed in 86 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NeuroKit is v0.2.4

Quality

NeuroKit has no bugs reported.

Security

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

License

NeuroKit 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

NeuroKit releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Compute the complexity of a signal
Computes the complexity of a signal
Generate the complexity of a signal
Compute the entropy of a signal
Computes the dimensionality of a signal
Compute the weighted average distance between a dimension
Embedding function
Embedding dimension
Analyze the data
Smooth a pseudo - WVD
Estimate the entropy rate of a signal
Simulate an EC2 signal
Plot ECG signals
Simulate the PPG simulation
R Compute the complexity of a signal
Computes the Shannon Entropy
Compute the entropy phase of a signal
Reads an Acqknowledge knowledge file
Plot emg
Simulate complex complexity
Generates a figalbrot
Displays the fractal density of the signal
Calculate the frequency density of a signal
Plot rsp signals
Plot eog
Compute bio information

Get all kandi verified functions for this library.

NeuroKit Key Features

No Key Features are available at this moment for NeuroKit.

NeuroKit Examples and Code Snippets

No Code Snippets are available at this moment for NeuroKit.

Community Discussions

Trending Discussions on NeuroKit

pytest and codecov: no coverage report found

Why do i get an Attribute Error when using Neurokit?

QUESTION

pytest and codecov: no coverage report found

Asked 2019-Oct-31 at 12:19

I have created a brand new Python repository based on a cookie-cutter template. Everything looks okay, so I am trying now to set the testing and testing coverage using travis and codecov. I am new to pytest but I am trying to do things right. After looking on the internet, I ended up with this setup:

In .travis.yml, I have added the following:

...

ANSWER

Answered 2019-Oct-31 at 06:32

Looks like you're missing coverage on your installs. You have it on scripts but it might not be running. Try adding pip install coverage in your travis.yml file. Have a go at this too: codecov

Source https://stackoverflow.com/questions/58635279

QUESTION

Why do i get an Attribute Error when using Neurokit?

Asked 2019-Sep-14 at 03:46

Why do i get an attribute error when i run this code in jupyter ? I am trying to figure out how to use Neurokit.

Ive tried to look through the modules one by one, but i seem to find the error.

...

ANSWER

Answered 2019-Sep-14 at 03:46

You could downgrade you scikit-learn version if you don't need the most recent fixes using

Source https://stackoverflow.com/questions/57790822

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

Vulnerabilities

No vulnerabilities reported

Install NeuroKit

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