<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for univi</title>
    <link>https://pypi.org/project/univi/</link>
    <description>Recent updates to the Python Package Index for univi</description>
    <language>en</language>    <item>
      <title>0.4.7</title>
      <link>https://pypi.org/project/univi/0.4.7/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Tue, 24 Feb 2026 00:50:43 GMT</pubDate>
    </item>    <item>
      <title>0.4.6</title>
      <link>https://pypi.org/project/univi/0.4.6/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Mon, 23 Feb 2026 23:00:49 GMT</pubDate>
    </item>    <item>
      <title>0.4.5</title>
      <link>https://pypi.org/project/univi/0.4.5/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 19 Feb 2026 20:14:11 GMT</pubDate>
    </item>    <item>
      <title>0.4.4</title>
      <link>https://pypi.org/project/univi/0.4.4/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 19 Feb 2026 17:44:17 GMT</pubDate>
    </item>    <item>
      <title>0.4.3</title>
      <link>https://pypi.org/project/univi/0.4.3/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 19 Feb 2026 17:10:07 GMT</pubDate>
    </item>    <item>
      <title>0.4.2</title>
      <link>https://pypi.org/project/univi/0.4.2/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 19 Feb 2026 16:05:55 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/univi/0.4.1/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Wed, 18 Feb 2026 23:48:51 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/univi/0.4.0/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Wed, 18 Feb 2026 21:40:56 GMT</pubDate>
    </item>    <item>
      <title>0.3.9</title>
      <link>https://pypi.org/project/univi/0.3.9/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Fri, 23 Jan 2026 17:12:51 GMT</pubDate>
    </item>    <item>
      <title>0.3.8</title>
      <link>https://pypi.org/project/univi/0.3.8/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Tue, 20 Jan 2026 00:19:23 GMT</pubDate>
    </item>    <item>
      <title>0.3.7</title>
      <link>https://pypi.org/project/univi/0.3.7/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Sat, 20 Dec 2025 01:23:39 GMT</pubDate>
    </item>    <item>
      <title>0.3.6</title>
      <link>https://pypi.org/project/univi/0.3.6/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Fri, 19 Dec 2025 23:01:18 GMT</pubDate>
    </item>    <item>
      <title>0.3.5</title>
      <link>https://pypi.org/project/univi/0.3.5/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Wed, 17 Dec 2025 21:24:34 GMT</pubDate>
    </item>    <item>
      <title>0.3.4</title>
      <link>https://pypi.org/project/univi/0.3.4/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Wed, 17 Dec 2025 19:41:07 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/univi/0.3.2/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Tue, 16 Dec 2025 20:27:30 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/univi/0.3.1/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Tue, 16 Dec 2025 00:27:16 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/univi/0.3.0/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Mon, 15 Dec 2025 23:20:53 GMT</pubDate>
    </item>    <item>
      <title>0.2.9</title>
      <link>https://pypi.org/project/univi/0.2.9/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Mon, 15 Dec 2025 22:16:19 GMT</pubDate>
    </item>    <item>
      <title>0.2.8</title>
      <link>https://pypi.org/project/univi/0.2.8/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 11 Dec 2025 23:31:32 GMT</pubDate>
    </item>    <item>
      <title>0.2.7</title>
      <link>https://pypi.org/project/univi/0.2.7/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 11 Dec 2025 01:34:45 GMT</pubDate>
    </item>    <item>
      <title>0.2.6</title>
      <link>https://pypi.org/project/univi/0.2.6/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Wed, 10 Dec 2025 18:05:53 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/univi/0.2.5/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Sat, 06 Dec 2025 04:22:51 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/univi/0.2.4/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Sat, 06 Dec 2025 03:58:46 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/univi/0.2.3/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Fri, 05 Dec 2025 20:29:00 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/univi/0.2.2/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Fri, 05 Dec 2025 18:58:30 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/univi/0.2.1/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Fri, 05 Dec 2025 01:49:36 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/univi/0.2.0/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 04 Dec 2025 21:19:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/univi/0.1.9/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 04 Dec 2025 21:07:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/univi/0.1.8/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 04 Dec 2025 19:04:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/univi/0.1.7/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 04 Dec 2025 18:17:40 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/univi/0.1.6/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 04 Dec 2025 18:08:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/univi/0.1.5/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 04 Dec 2025 17:56:30 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/univi/0.1.4/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Wed, 03 Dec 2025 19:02:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/univi/0.1.3/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Fri, 21 Nov 2025 00:41:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/univi/0.1.2/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 20 Nov 2025 21:47:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/univi/0.1.1/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 20 Nov 2025 19:21:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/univi/0.1.0/</link>
      <description>UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.</description>
<author>ashforda@ohsu.edu</author>      <pubDate>Thu, 20 Nov 2025 18:32:56 GMT</pubDate>
    </item>  </channel>
</rss>