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    <title>PyPI recent updates for mlx-vis</title>
    <link>https://pypi.org/project/mlx-vis/</link>
    <description>Recent updates to the Python Package Index for mlx-vis</description>
    <language>en</language>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/mlx-vis/0.7.0/</link>
      <description>Pure MLX implementations of UMAP, t-SNE, PaCMAP, LocalMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Fri, 20 Mar 2026 04:50:56 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/mlx-vis/0.6.0/</link>
      <description>Pure MLX implementations of UMAP, t-SNE, PaCMAP, LocalMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Thu, 19 Mar 2026 09:22:27 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/mlx-vis/0.5.0/</link>
      <description>Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Wed, 18 Mar 2026 16:41:22 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/mlx-vis/0.4.0/</link>
      <description>Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Fri, 13 Mar 2026 07:00:03 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/mlx-vis/0.3.1/</link>
      <description>Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Fri, 06 Mar 2026 12:40:25 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/mlx-vis/0.2.1/</link>
      <description>Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Fri, 06 Mar 2026 12:34:41 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/mlx-vis/0.3.0/</link>
      <description>Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Wed, 04 Mar 2026 13:50:52 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/mlx-vis/0.2.0/</link>
      <description>Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, and NNDescent for Apple Silicon. Metal GPU acceleration for both computation and video rendering. No scipy, no sklearn, no matplotlib.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Wed, 04 Mar 2026 06:57:34 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/mlx-vis/0.1.1/</link>
      <description>Pure MLX + NumPy implementations of UMAP, t-SNE, PaCMAP, and NNDescent for Apple Silicon.</description>
<author>han.xiao@jina.ai</author>      <pubDate>Wed, 04 Mar 2026 05:44:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/mlx-vis/0.1.0/</link>
      <description>Unified dimensionality reduction on Apple Silicon: UMAP, t-SNE, PaCMAP, NNDescent, PCA - all in MLX.</description>
      <pubDate>Wed, 04 Mar 2026 04:38:24 GMT</pubDate>
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