Skip to main content

Spike sorting made simple

Project description

spikely

An application built on top of SpikeInterface to create and run extracellular data processing pipelines within a GUI. Spikely currently supports loading, preprocessing, sorting, and curating extracellular datasets that are stored in SpikeInterface compatible file formats.

Setup

To run spikely first you must install it:

pip install spikely

Once installed, spikely can be launched from the command line:

spikely

Documentation

All documentation for spikely can be found here: https://spikely.readthedocs.io/en/latest/.

Screenshot

gui

Authors

Roger Hurwitz - Portland, Oregon, USA

Cole Hurwitz - The Institute for Adaptive and Neural Computation (ANC), University of Edinburgh, Edinburgh, Scotland

Shawn Guo - The Institute for Adaptive and Neural Computation (ANC), University of Edinburgh, Edinburgh, Scotland

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for spikely, version 0.6.4
Filename, size File type Python version Upload date Hashes
Filename, size spikely-0.6.4-py3-none-any.whl (381.9 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size spikely-0.6.4.tar.gz (360.6 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page