Metadata-Version: 2.1
Name: spiketools
Version: 0.0.0
Summary: Module for analyzing spiking data.
Home-page: https://github.com/spiketools/spiketools
Download-URL: https://github.com/spiketools/spiketools/releases
Maintainer: Thomas Donoghue
Maintainer-email: tdonoghue.research@gmail.com
License: Apache License, 2.0
Project-URL: Documentation, https://spiketools.github.io/
Project-URL: Bug Reports, https://github.com/spiketools/spike/issues
Project-URL: Source, https://github.com/spiketools/spiketools
Keywords: neuroscience,single units,spike analyses,electrophysiology
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.6
License-File: LICENSE

spiketools
==========

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``spiketools`` is a collection of tools and utilities for analyzing spiking data.

Overview
--------

``spiketools`` is an open-source module for processing and analyzing single-unit activity from neuro-electrophysiological recordings.

Available sub-modules in ``spiketools`` include:

- ``measures`` : measures and conversions that can be applied to spiking data
- ``objects`` : objects that can be used to manage spiking data
- ``spatial`` : space related functionality and measures
- ``stats`` : statistical measures for analyzing spiking data
- ``sim`` : simulations of spiking activity and related functionality
- ``plts`` : plotting functions for visualizing spike data and related measures
- ``utils`` : additional utilities for working with spiking data

Scope
-----

``spiketools`` is currently organized around analyses of single cell activity.

The current scope does not include population measures, though this may be extended in the future.

Note that ``spiketools`` does *not* cover spike sorting.
Check out `spikeinterface <https://github.com/SpikeInterface/>`_ for spike sorting.

Documentation
-------------

Documentation for ``spiketools`` is available
`here <https://spiketools.github.io/>`_.

The documentation includes:

- `Tutorials <https://spiketools.github.io/spiketools/auto_tutorials/index.html>`_: which describe and work through each sub-module
- `Examples <https://spiketools.github.io/spiketools/auto_examples/index.html>`_: demonstrating example applications and workflows
- `API List <https://spiketools.github.io/spiketools/api.html>`_: which lists and describes everything available in the module
- `Glossary <https://spiketools.github.io/spiketools/glossary.html>`_: which defines key terms used in the module

If you have a question about using SpikeTools that doesn't seem to be covered by the documentation, feel free to
open an `issue <https://github.com/spiketools/spiketools/issues>`_ and ask!

Dependencies
------------

``spiketools`` is written in Python, and requires Python >= 3.6 to run.

It has the following required dependencies:

- `numpy <https://github.com/numpy/numpy>`_
- `pandas <https://github.com/pandas-dev/pandas>`_
- `scipy <https://github.com/scipy/scipy>`_
- `matplotlib <https://github.com/matplotlib/matplotlib>`_

There are also optional dependencies, that offer extra functionality:

- `statsmodels <https://github.com/statsmodels/statsmodels>`_ is needed for some statistical measures, for example ANOVAs
- `pytest <https://github.com/pytest-dev/pytest>`_ is needed to run the test suite locally

We recommend using the `Anaconda <https://www.anaconda.com/distribution/>`_ distribution to manage these requirements.

Installation
------------

The current release version of `spiketools` is the 0.X.X series.

See the `changelog <https://spiketools.github.io/spiketools/changelog.html>`_ for notes on major version releases.

**Stable Release Version**

To install the latest stable release, you can use pip:

.. code-block:: shell

    $ pip install spiketools

**Development Version**

To get the current development version, first clone this repository:

.. code-block:: shell

    $ git clone https://github.com/spiketools/spiketools

To install this cloned copy, move into the directory you just cloned, and run:

.. code-block:: shell

    $ pip install .

**Editable Version**

To install an editable version, download the development version as above, and run:

.. code-block:: shell

    $ pip install -e .

Contribute
----------

This project welcomes and encourages contributions from the community!

To file bug reports and/or ask questions about this project, please use the
`Github issue tracker <https://github.com/spiketools/spiketools/issues>`_.

To see and get involved in discussions about the module, check out:

- the `issues board <https://github.com/spiketools/spiketools/issues>`_ for topics relating to code updates, bugs, and fixes
- the `development page <https://github.com/spiketools/Development>`_ for discussion of potential major updates to the module

When interacting with this project, please use the
`contribution guidelines <https://github.com/spiketools/spiketools/blob/main/CONTRIBUTING.md>`_
and follow the
`code of conduct <https://github.com/spiketools/spiketools/blob/main/CODE_OF_CONDUCT.md>`_.
