A Python library for analysis of electrophysiological data
Project description
# pyelectro
[![GH Build](https://github.com/NeuralEnsemble/pyelectro/actions/workflows/ci.yml/badge.svg)](https://github.com/NeuralEnsemble/pyelectro/actions/workflows/ci.yml) [![Documentation Status](https://readthedocs.org/projects/pyelectro/badge/?version=latest)](https://pyelectro.readthedocs.io/en/latest/?badge=latest) [![PyPI](https://img.shields.io/pypi/v/pyelectro)](https://pypi-hypernode.com/project/pyelectro/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pyelectro)](https://pypi-hypernode.com/project/pyelectro/) [![GitHub](https://img.shields.io/github/license/NeuralEnsemble/pyelectro)](https://github.com/NeuralEnsemble/pyelectro/blob/master/LICENSE) [![GitHub pull requests](https://img.shields.io/github/issues-pr/NeuralEnsemble/pyelectro)](https://github.com/NeuralEnsemble/pyelectro/pulls) [![GitHub issues](https://img.shields.io/github/issues/NeuralEnsemble/pyelectro)](https://github.com/NeuralEnsemble/pyelectro/issues) [![GitHub Org’s stars](https://img.shields.io/github/stars/NeuralEnsemble?style=social)](https://github.com/NeuralEnsemble)
Tool for analysis of electrophysiology in Python.
This package was originally developed by [Mike Vella](https://github.com/vellamike). This has been updated by [Padraig Gleeson](https://github.com/pgleeson) and others (and moved to [NeuralEnsemble](https://github.com/NeuralEnsemble)) to continue development of [pyelectro](https://github.com/NeuralEnsemble/pyelectro) and [Neurotune](https://github.com/NeuralEnsemble/neurotune) for use in [OpenWorm](http://www.openworm.org/), [Open Source Brain](http://opensourcebrain.org/) and other projects
Copyright (c) 2023, libNeuroML authors and contributors All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the names of the copyright holders nor the names of the contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pyelectro-0.2.6.tar.gz
.
File metadata
- Download URL: pyelectro-0.2.6.tar.gz
- Upload date:
- Size: 20.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7dbd6ad0a55584b6ab29a40d632de9770f1f92b6cc89600de07253b1f4f15595 |
|
MD5 | 470f1e62d0572ef350d6d36a24e241ac |
|
BLAKE2b-256 | 86c5c63a257b21653c0fceae366e6eaca414307df40297142e4172f2b6413118 |
File details
Details for the file pyelectro-0.2.6-py3-none-any.whl
.
File metadata
- Download URL: pyelectro-0.2.6-py3-none-any.whl
- Upload date:
- Size: 19.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d281513f2dd2dd34ba7b766181e14d1198cafaed8373be8e70b965041fdd22db |
|
MD5 | 6b0126bf72402f9030fe72a7d725a7e0 |
|
BLAKE2b-256 | cb2767e448f089e97dcb0d7e16be0b8ea9bb1d6171bd9060100a729642bb0123 |