This project has been archived by its maintainers, and is no longer receiving any updates.
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
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
1 maintainer
Metadata
1 maintainer
Release files for spikely 0.7.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| spikely-0.7.2.tar.gz | 371.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spikely-0.7.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 797.1 kB
Release files / spikely-0.7.2.tar.gz
| Download URL | spikely-0.7.2.tar.gz |
|---|---|
| Size | 371.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.3.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7
|
Release files / spikely-0.7.2-py3-none-any.whl
| Download URL | spikely-0.7.2-py3-none-any.whl |
|---|---|
| Size | 425.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.3.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.7.7
|
