Skip to main content

Python toolkit for analysis, visualization, and comparison of spike sorting output

Project description

SpikeInterface: a unified framework for spike sorting

Latest Release latest release
Documentation latest documentation
License license
Build Status CI build status
Codecov codecov

Twitter Mastodon

:warning::warning::warning: PRs with new features are frozen!: after the 0.100.0 release, we will not accept PRs with new features (only bug fixes) until February 21st 2024.

SpikeInterface is a Python framework designed to unify preexisting spike sorting technologies into a single code base.

Please Star the project to support us and Watch to always stay up-to-date!

With SpikeInterface, users can:

  • read/write many extracellular file formats.
  • pre-process extracellular recordings.
  • run many popular, semi-automatic spike sorters (also in Docker/Singularity containers).
  • post-process sorted datasets.
  • compare and benchmark spike sorting outputs.
  • compute quality metrics to validate and curate spike sorting outputs.
  • visualize recordings and spike sorting outputs in several ways (matplotlib, sortingview, jupyter, ephyviewer)
  • export a report and/or export to phy
  • offer a powerful Qt-based viewer in a separate package spikeinterface-gui
  • have powerful sorting components to build your own sorter.

Documentation

Detailed documentation of the latest PyPI release of SpikeInterface can be found here.

Detailed documentation of the development version of SpikeInterface can be found here.

Several tutorials to get started can be found in spiketutorials.

There are also some useful notebooks on our blog that cover advanced benchmarking and sorting components.

You can also have a look at the spikeinterface-gui.

How to install spikeinterface

You can install the latest version of spikeinterface version with pip:

pip install spikeinterface[full]

The [full] option installs all the extra dependencies for all the different sub-modules.

To install all interactive widget backends, you can use:

 pip install spikeinterface[full,widgets]

To get the latest updates, you can install spikeinterface from source:

git clone https://github.com/SpikeInterface/spikeinterface.git
cd spikeinterface
pip install -e .
cd ..

Citation

If you find SpikeInterface useful in your research, please cite:

@article{buccino2020spikeinterface,
  title={SpikeInterface, a unified framework for spike sorting},
  author={Buccino, Alessio Paolo and Hurwitz, Cole Lincoln and Garcia, Samuel and Magland, Jeremy and Siegle, Joshua H and Hurwitz, Roger and Hennig, Matthias H},
  journal={Elife},
  volume={9},
  pages={e61834},
  year={2020},
  publisher={eLife Sciences Publications Limited}
}

Project details


Download files

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

Source Distribution

spikeinterface-0.100.6.tar.gz (619.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

spikeinterface-0.100.6-py3-none-any.whl (803.1 kB view details)

Uploaded Python 3

File details

Details for the file spikeinterface-0.100.6.tar.gz.

File metadata

  • Download URL: spikeinterface-0.100.6.tar.gz
  • Upload date:
  • Size: 619.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for spikeinterface-0.100.6.tar.gz
Algorithm Hash digest
SHA256 9b51921437c2f57930f2cea4d87ee114c70fff0cfe0c21d1e7dfa40672fbc27d
MD5 741272403e25723798d34b32b1e69873
BLAKE2b-256 a050c7db7b067d689d6f4146cb98079be0fbcc3ffed0dcbef68ade70ce6d53d6

See more details on using hashes here.

File details

Details for the file spikeinterface-0.100.6-py3-none-any.whl.

File metadata

File hashes

Hashes for spikeinterface-0.100.6-py3-none-any.whl
Algorithm Hash digest
SHA256 d91552d0803e2e4c6b9ac1c3642da698c050f449a4d74f6550de6c2d93ea4c52
MD5 1733d810e76eb01c9df6a81d4a2c19a2
BLAKE2b-256 88863c1d5aa3160df31e2894ee0a4da6b97cbb5f5b6bc2e34e7cc3c8e83ad082

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page