spikeextractors | based module
kandi X-RAY | spikeextractors Summary
kandi X-RAY | spikeextractors Summary
spikeextractors is a Python library. spikeextractors 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 spikeextractors' or download it from GitHub, PyPI.
The spikeextractors package has now been integrated into spikeinterface. This package will be maintained for a while for bug fixes only, then it will be deprecated. New features and improvements will only be implemented for the spikeinterface package.
The spikeextractors package has now been integrated into spikeinterface. This package will be maintained for a while for bug fixes only, then it will be deprecated. New features and improvements will only be implemented for the spikeinterface package.
Support
Quality
Security
License
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Support
spikeextractors has a low active ecosystem.
It has 112 star(s) with 50 fork(s). There are 10 watchers for this library.
It had no major release in the last 12 months.
spikeextractors has no issues reported. On average issues are closed in 42 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of spikeextractors is 0.9.11
Quality
spikeextractors has 0 bugs and 0 code smells.
Security
spikeextractors has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
spikeextractors code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
spikeextractors 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
spikeextractors 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 spikeextractors and discovered the below as its top functions. This is intended to give you an instant insight into spikeextractors implemented functionality, and help decide if they suit your requirements.
- Write a sorting
- Get the channel groups
- Return the number of channels
- Get channel IDs
- Adds electrodes to a Nwbfile
- Set a dynamic table property
- Get a value from a list
- Get channel locations
- Write recording to file
- Write a recording to disk
- Saves an object
- Get a numpy array of random samples from a channel
- Get the traces for the given channels
- Decorator to check the arguments passed to func
- Write the timeseries data to a binary dat file
- Copy channel properties to another recording
- Write sorting
- Write the recording
- Write a recording to a file
- Write a sorting file
- Write a recording
- Write a sorting extractor
- AddElectrode groups to the recording
- Write an acquisition system
- Get snippets from reference frames
- Generate a toy example
Get all kandi verified functions for this library.
spikeextractors Key Features
No Key Features are available at this moment for spikeextractors.
spikeextractors Examples and Code Snippets
No Code Snippets are available at this moment for spikeextractors.
Community Discussions
No Community Discussions are available at this moment for spikeextractors.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spikeextractors
You can install using 'pip install spikeextractors' or download it from GitHub, PyPI.
You can use spikeextractors 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.
You can use spikeextractors 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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