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image:: https://raw.githubusercontent.com/esi-neuroscience/syncopy/master/doc/source/_static/syncopy_logo_small.png\n\t   :alt: Syncopy-Logo\n\nSystems Neuroscience Computing in Python\n========================================\n\n\n|Conda Version| |PyPi Version| |License| |DOI|\n\n.. |Conda Version| image:: https://img.shields.io/conda/vn/conda-forge/esi-syncopy.svg\n   :target: https://anaconda.org/conda-forge/esi-syncopy\n.. |PyPI version| image:: https://badge.fury.io/py/esi-syncopy.svg\n   :target: https://badge.fury.io/py/esi-syncopy\n.. |License| image:: https://img.shields.io/github/license/esi-neuroscience/syncopy\n.. |DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.8191941.svg\n   :target: https://doi.org/10.5281/zenodo.8191941\n\n|Master Tests| |Master Coverage|\n\n.. |Master Tests| image:: https://github.com/esi-neuroscience/syncopy/actions/workflows/cov_test_workflow.yml/badge.svg?branch=master\n   :target: https://github.com/esi-neuroscience/syncopy/actions/workflows/cov_test_workflow.yml\n.. |Master Coverage| image:: https://codecov.io/gh/esi-neuroscience/syncopy/branch/master/graph/badge.svg?token=JEI3QQGNBQ\n   :target: https://codecov.io/gh/esi-neuroscience/syncopy\n\nSyncopy aims to be a user-friendly toolkit for *large-scale*\nelectrophysiology data-analysis in Python. We strive to achieve the following goals:\n\n1. Syncopy is a *fully open source Python* environment for electrophysiology\n   data analysis.\n2. Syncopy is *scalable* and built for *very large datasets*. It automatically\n   makes use of available computing resources and is developed with built-in\n   parallelism in mind.\n3. Syncopy is *compatible with FieldTrip*. Data and results can be loaded into\n   MATLAB and Python, and parameter names and function call syntax are as similar as possible.\n\nSyncopy is developed at the\n`Ernst Strüngmann Institute (ESI) gGmbH for Neuroscience in Cooperation with Max Planck Society \u003chttps://www.esi-frankfurt.de/\u003e`_\nand released free of charge under the\n`BSD 3-Clause \"New\" or \"Revised\" License \u003chttps://en.wikipedia.org/wiki/BSD_licenses#3-clause_license_(%22BSD_License_2.0%22,_%22Revised_BSD_License%22,_%22New_BSD_License%22,_or_%22Modified_BSD_License%22)\u003e`_.\n\nNews\n-----\n* 2024-04, **Pre-print on Syncopy available.** A pre-print paper on Syncopy is now available `here on arxiv, with DOI 10.1101/2024.04.15.589590 \u003chttps://doi.org/10.1101/2024.04.15.589590\u003e`_. Please cite this pre-print if you use Syncopy. In APA style, the citation is: Mönke, G., Schäfer, T., Parto-Dezfouli, M., Kajal, D. S., Fürtinger, S., Schmiedt, J. T., \u0026 Fries, P. (2024). *Systems Neuroscience Computing in Python (SyNCoPy): A Python Package for Large-scale Analysis of Electrophysiological Data.* bioRxiv, 2024-04.\n\nContact\n-------\nTo report bugs or ask questions please use our `GitHub issue tracker \u003chttps://github.com/esi-neuroscience/syncopy/issues\u003e`_.\nFor general inquiries please contact syncopy (at) esi-frankfurt.de.\n\nInstallation\n============\n\nWe recommend to install SynCoPy into a new conda environment:\n\n#. Install the `Anaconda Distribution for your Operating System \u003chttps://www.anaconda.com/products/distribution\u003e`_ if you do not yet have it.\n#. Start a new terminal.\n\n   * You can do this by starting ```Anaconda navigator```, selecting ```Environments``` in the left tab, selecting the ```base (root)``` environment, and clicking the green play button and then ```Open Terminal```.\n   * Alternatively, under Linux, you can just type ```bash``` in your active terminal to start a new session.\n\nYou should see a terminal with a command prompt that starts with ```(base)```, indicating that you are\nin the conda ```base``` environment.\n\nNow we create a new environment named ```syncopy``` and install syncopy into this environment:\n\n.. code-block:: bash\n\n   conda create -y --name syncopy\n   conda activate syncopy\n   conda install -y -c conda-forge esi-syncopy\n\nGetting Started\n===============\nPlease visit our `online documentation \u003chttp://syncopy.org\u003e`_.\n\nDeveloper Installation\n-----------------------\n\nTo get the latest development version, please clone our GitHub repository and change to the `dev` branch. We highly recommend to install into a new conda virtual environment, so that this development version does not interfere with your existing installation.\n\n.. code-block:: bash\n\n   git clone https://github.com/esi-neuroscience/syncopy.git\n   cd syncopy/\n   conda env create --name syncopy-dev --file syncopy.yml\n   conda activate syncopy-dev\n   pip install -e .\n\n\nWe recommend to verify your development installation by running the unit tests. You can skip the parallel tests to save some time, the tests should run in about 5 minutes then:\n\n\n.. code-block:: bash\n\n   python -m pytest -k \"not parallel\"\n\n\nYou now have a verified developer installation of Syncopy. Please refert to our `contributing guide \u003chttps://github.com/esi-neuroscience/syncopy/blob/master/CONTRIBUTING.md\u003e`_ if you want to contribute to Syncopy.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fesi-neuroscience%2Fsyncopy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fesi-neuroscience%2Fsyncopy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fesi-neuroscience%2Fsyncopy/lists"}