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    <title>plot</title>
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    <updated>2026-10-17T04:10:45+00:00</updated>
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            <id>https://links.biapy.com/links/13489</id>
            <title type="text"><![CDATA[uPlot]]></title>
            <link rel="alternate" href="https://github.com/leeoniya/uPlot" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/13489"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[📈 A small, fast chart for time series, lines, areas, ohlc &amp;amp; bars.

uPlot is a fast, memory-efficient Canvas 2D-based chart for plotting time series, lines, areas, ohlc &amp;amp; bars. From a cold start it can create an interactive chart containing 166,650 data points in 25ms, scaling linearly at ~100,000 pts/ms afterwards. In addition to fast initial render, the zooming and cursor performance is by far the best of any similar charting lib; at ~50 KB, it&amp;#039;s likely the smallest and fastest time series plotter that doesn&amp;#039;t make use of context-limited WebGL shaders or WASM, both of which have much higher startup cost and code size.]]>
            </summary>
            <updated>2026-08-02T19:34:37+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5258</id>
            <title type="text"><![CDATA[Dicopal]]></title>
            <link rel="alternate" href="https://github.com/riatelab/dicopal.js" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5258"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Discrete color palettes (hundreds of them!) for JavaScript.]]>
            </summary>
            <updated>2025-08-29T06:33:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5933</id>
            <title type="text"><![CDATA[YouPlot]]></title>
            <link rel="alternate" href="https://github.com/red-data-tools/YouPlot" />
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            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[YouPlot is a command line tool that draws plots on the terminal.]]>
            </summary>
            <updated>2025-08-29T08:25:38+00:00</updated>
        </entry>
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