@@ -4,15 +4,15 @@
   "license": "https://spdx.org/licenses/BSD-3-Clause",
   "codeRepository": "https://github.com/NeuralEnsemble/python-neo",
   "contIntegration": "https://github.com/NeuralEnsemble/python-neo/actions",
-  "dateModified": "2026-06-25",
-  "downloadUrl": "https://files.pythonhosted.org/packages/f0/ee/168b94170399e21d68cba4efb79f532e81b2cb3ce747d642d95370da8882/neo-0.14.5.tar.gz",
+  "dateModified": "2026-10-13",
+  "downloadUrl": "",
   "issueTracker": "https://github.com/NeuralEnsemble/python-neo/issues",
   "name": "Neo",
-  "version": "0.14.5",
+  "version": "0.14.6",
   "identifier": "RRID:SCR_000634",
   "description": "Neo is a Python package for working with electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5.\n\nThe goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization.\n\nNeo is used by a number of other software tools, including SpykeViewer (data analysis and visualization), Elephant (data analysis), the G-node suite (databasing), PyNN (simulations), tridesclous_ (spike sorting) and ephyviewer (data visualization).\n\nNeo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neo's data objects build on the quantities package, which in turn builds on NumPy by adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion.",
   "applicationCategory": "neuroscience",
-  "releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.14.5.html",
+  "releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.14.6.html",
   "funding": "https://cordis.europa.eu/project/id/945539",
   "developmentStatus": "active",
   "referencePublication": "https://doi.org/10.3389/fninf.2014.00010",
@@ -125,6 +125,10 @@
     {"@type": "Person", "givenName": "Kuntal", "familyName": "Kokate"},
     { "@type": "Person", "givenName": "Reema", "familyName": "Gupta" },
     { "@type": "Person", "givenName": "Sai Asish", "familyName": "Yamani" },
-    { "@type": "Person", "alternateName": "LizzyMcKay@github" }
+    { "@type": "Person", "alternateName": "LizzyMcKay@github" },
+    {"@type": "Person", "givenName": "Aditya", "familyName": "Singh"},
+    {"@type": "Person", "givenName": "Stanley", "familyName": "C."},
+    {"@type": "Person", "givenName": "Axel", "familyName": "Coiffard-Donaty"},
+    {"@type": "Person", "givenName": "Kevin", "familyName": "Doran"}
   ]
 }
@@ -104,6 +104,8 @@ and may not be the current affiliation of a contributor.
 * Sai Asish Yamani [51]
 * Kevin Doran [52]
 * Aditya Singh (github)
+* Stanley C.
+* Axel Coiffard-Donaty
 
 1. Centre de Recherche en Neuroscience de Lyon, CNRS UMR5292 - INSERM U1028 - Université Claude Bernard Lyon 1
 2. Unité de Neuroscience, Information et Complexité, CNRS UPR 3293, Gif-sur-Yvette, France
 
@@ -6,6 +6,8 @@ Release notes
 .. toctree::
    :maxdepth: 1
 
+
+   releases/0.14.6.rst
    releases/0.14.5.rst
    releases/0.14.4.rst
    releases/0.14.3.rst
 
@@ -0,0 +1,45 @@
+========================
+Neo 0.14.6 release notes
+========================
+
+15 October 2026
+
+This release of Neo includes many bug fixes in various IOs with an eye to a 1.0 release.
+
+See all `pull requests`_ included in this release and the `list of closed issues`_.
+
+
+Update NumPy shaping for Neo Objects
+------------------------------------
+We have updated the reshaping of core Neo Objects to handle updates to NumPy object handling.
+
+
+Gap Tolerance
+-------------
+We have been working toward a concept of gap tolerance within the code base for readers that may drop samples or have gaps during recording. Originally a few readers implemented this
+feature in a reader specific manner (e.g. :code:`BlackrockIO`), but we hope to formalize this process. As another test of incorporating gap tolerance as a core feature of readers
+we have implemented :code:`gap_tolerance_ms` in the :code:`NeuralynxIO` thanks to the work of Heberto Mayorquin. To read and comment on our proposal for gap tolerance please go to `gap API`_.
+
+
+Documentation
+-------------
+We have made minor tweaks to the documentation. Most importantly we have updated the documentation about the differences in :code:`RawIO` between :code:`index`, :code:`id`, and :code:`name` as they relate to channels.
+
+
+Bug fixes and improvements in IO modules
+----------------------------------------
+Bug fixes and/or improvements have been made to :code:`AxonIO`, :code:`NeuroexplorerIO`, :code:`BioCamIO`, :code:`NeoMatlabIO`, :code:`TdtIO`, :code:`BlackrockIO`, and :code:`NeuralynxIO`.
+
+
+Acknowledgements
+----------------
+
+Thanks to Heberto Mayorquin, Baptiste Grimaud, Axel Coiffard-Donaty, Aditya Singh, Stanley C, Andrew Davison, Alessio Buccino, and Zachary McKenzie.
+
+
+
+.. _`pull requests` : https://github.com/NeuralEnsemble/python-neo/pulls?q=is%3Apr+is%3Aclosed+milestone%3A0.14.6
+
+.. _`list of closed issues` : https://github.com/NeuralEnsemble/python-neo/issues?q=is%3Aissue%20state%3Aclosed%20milestone%3A0.14.6
+
+.. _`gap API` : https://github.com/NeuralEnsemble/python-neo/issues/1773
@@ -1,6 +1,6 @@
 [project]
 name = "neo"
-version = "0.15.dev0"
+version = "0.14.6"
 authors = [{name = "Neo authors and contributors"}]
 description = "Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats"
 readme = "README.rst"
@@ -17,6 +17,7 @@ classifiers = [
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
     "Programming Language :: Python :: 3 :: Only",
 ]