diff --git a/docs/source/tools/analysis_tools_home.rst b/docs/source/tools/analysis_tools_home.rst
index af1ba9b..54d3b8e 100644
--- a/docs/source/tools/analysis_tools_home.rst
+++ b/docs/source/tools/analysis_tools_home.rst
@@ -19,6 +19,7 @@ Analysis and Visualization Tools
     ecogvis/ecogvis
     neo/neo
     eeglab/eeglab
+    syncopy/syncopy
     caiman/caiman
     suite2p/suite2p
     ciatah/ciatah
@@ -175,6 +176,21 @@ Extracellular Electrophysiology Tools
         :end-before: .. short_description_end
 
 
+.. raw:: html
+
+    <br />
+    <br />
+
+
+.. image:: syncopy/syncopy_logo.png
+    :class: align-left
+    :width: 180
+
+.. include::  syncopy/syncopy.rst
+        :start-after: .. short_description_start
+        :end-before: .. short_description_end
+
+
 .. raw:: html
 
     <br />
diff --git a/docs/source/tools/syncopy/syncopy.rst b/docs/source/tools/syncopy/syncopy.rst
new file mode 100644
index 0000000..ac39c17
--- /dev/null
+++ b/docs/source/tools/syncopy/syncopy.rst
@@ -0,0 +1,34 @@
+.. _analysistools-syncopy:
+
+SyNCoPy
+-------
+
+.. short_description_start
+
+:ref:`analysistools-syncopy` is a Python library providing high level functions for electrophysiological time series
+and spike data analysis. It allows to conveniently perform complex analysis workflows including data preprocessing,
+time-frequency and connectivity analysis. SyNCoPy is specifically tailored for very large ("bigger than memory") datasets,
+leveraging parallelized computation on many different platforms. It is designed after the well established FieldTrip
+MatLab package and supports MNE Python, NWB and FieldTrip data formats.
+:bdg-link-primary:`Docs <https://syncopy.readthedocs.io>`
+:bdg-link-primary:`Source <https://github.com/esi-neuroscience/syncopy>`
+
+.. image:: https://img.shields.io/github/stars/esi-neuroscience/syncopy?style=social
+    :alt: GitHub Repo stars for SyNCoPy
+    :target: https://github.com/esi-neuroscience/syncopy
+
+.. short_description_end
+
+SyNCoPy (Systems Neuroscience Computing in Python, spelled Syncopy in the following) is a Python toolkit for user-friendly, large-scale electrophysiology data analysis. It strives to achieve the following goals:
+
+Syncopy provides a full open source Python environment for reproducible electrophysiology data analysis.
+
+Syncopy is scalable to accommodate very large datasets. It automatically makes use of available computing resources and is developed with built-in parallelism in mind.
+
+Syncopy is compatible with the MATLAB toolbox `FieldTrip <https://www.fieldtriptoolbox.org/>`_.
+
+Syncopy supports reading data from NWB and exporting data to NWB. See `Syncopy Data Basics <https://syncopy.readthedocs.io/en/latest/user/data_basics.html>`_ for more information.
+
+.. image:: syncopy_logo.png
+    :class: align-left
+    :width: 400
diff --git a/docs/source/tools/syncopy/syncopy_logo.png b/docs/source/tools/syncopy/syncopy_logo.png
new file mode 100644
index 0000000..74bd0b4
Binary files /dev/null and b/docs/source/tools/syncopy/syncopy_logo.png differ