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spikely

A GUI for running popular spike sorting algorithms on extracellular data of any file format.

https://github.com/spikeinterface/spikely

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    1 of 8 committers (12.5%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.9%) to scientific vocabulary

Keywords

application spike-sorting
Last synced: 6 months ago · JSON representation

Repository

A GUI for running popular spike sorting algorithms on extracellular data of any file format.

Basic Info
Statistics
  • Stars: 16
  • Watchers: 5
  • Forks: 7
  • Open Issues: 7
  • Releases: 0
Topics
application spike-sorting
Created almost 7 years ago · Last pushed over 4 years ago
Metadata Files
Readme License

README.md

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

Owner

  • Name: SpikeInterface
  • Login: SpikeInterface
  • Kind: organization
  • Email: support@spikeinterface.com

A unified framework for spike sorting. Paper at: https://elifesciences.org/articles/61834

GitHub Events

Total
Last Year

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 400
  • Total Committers: 8
  • Avg Commits per committer: 50.0
  • Development Distribution Score (DDS): 0.235
Top Committers
Name Email Commits
Roger Hurwitz r****z@g****m 306
colehurwitz c****z@g****m 66
Hurwitz r****z@i****m 7
Roger Hurwitz r****z@u****m 7
colehurwitz s****3@r****k 5
Shawn Guo s****n@g****m 5
Cole Hurwitz c****z@c****n 3
Cole Hurwitz c****z@C****l 1
Committer Domains (Top 20 + Academic)
coles-mbp.lan: 1 raikonnen.inf.ed.ac.uk: 1 intel.com: 1

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 54
  • Total pull requests: 22
  • Average time to close issues: 26 days
  • Average time to close pull requests: 12 days
  • Total issue authors: 7
  • Total pull request authors: 4
  • Average comments per issue: 1.7
  • Average comments per pull request: 0.45
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • colehurwitz (33)
  • Shawn-Guo-CN (9)
  • rogerhurwitz (5)
  • alejoe91 (4)
  • asafbenj (1)
  • samuelgarcia (1)
  • benkiisma (1)
Pull Request Authors
  • colehurwitz (16)
  • rogerhurwitz (4)
  • lwty (1)
  • Shawn-Guo-CN (1)
Top Labels
Issue Labels
enhancement (16) bug (5) good first issue (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 18 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 6
  • Total maintainers: 1
pypi.org: spikely

Spike sorting made simple

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 18 Last month
Rankings
Dependent packages count: 10.0%
Forks count: 12.5%
Stargazers count: 14.5%
Downloads: 24.4%
Average: 25.8%
Dependent repos count: 67.6%
Maintainers (1)
rogerhurwitz
Last synced: 6 months ago

Dependencies

setup.py pypi
  • pyqt5 >=5.14.2
  • spikeextractors >=0.8.4
  • spikesorters >=0.3.3
  • spiketoolkit >=0.6.3