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<!DOCTYPE HTML>
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<title>glue: multi-dimensional linked-data exploration</title>
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<h1><a href="index.html" id="logo">glue:<em> multi-dimensional linked-data exploration</em></a></h1>
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<li><a href="install.html">Install</a></li>
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<h2>glue<em> is an open-source Python library to explore relationships within and between related datasets</em></h2>
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<h3>Linked Visualizations</h3>
<p>With glue, users can create scatter plots, histograms and images (2D and 3D) of their data. glue is focused on the brushing and linking paradigm, where selections in any graph propagate to all others.</p>
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<h3>Flexible linking across data</h3>
<p>glue uses the logical links that exist between different data sets to overlay visualizations of different data, and to propagate selections across data sets. These links are specified by the user, and are arbitrarily flexible</p>
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<h3>Full scripting capability</h3>
<p>glue is written in Python, and built on top of its standard scientific libraries (i.e., Numpy, Matplotlib, Scipy). Users can easily integrate their own python code for data input, cleaning, and analysis.</p>
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<h2>glue is a multi-disciplinary tool</h2>
<p>Designed from the ground up to be applicable to a wide variety of data, glue is being used on astronomy data of star forming-clouds, medical data including brain scans, and many other kinds of data.</p>
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<h3>Video: <a href="https://www.youtube.com/watch?v=SFVnqlHPJ6M">What is glue?</a></h3>
<p>A 2-minute introduction summarizing what glue is capable of.</p>
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<h3>Blog: <a href="https://10qviz.org/glue-how-did-they-meet/">glue ❤ JWST</a></h3>
<p>A match made for the heavens! Read about how glue was initially funded by, and learn why it's so important to, the James Webb Space Telescope.</p>
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<h3>Video: <a href="https://www.youtube.com/watch?v=47LNpvDlKUk">Talk at SciPy 2013</a></h3>
<p>An overview talk of glue by Chris Beaumont at the SciPy 2013 meeting.</p>
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<a href="https://figshare.com/s/7aacc37dc44a0e410587" alt="link to glue poster for NSF SSI" class="image left"/><img src="images/modular-design.png" alt="" /></a>
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<h3>Poster: <a href="https://figshare.com/s/7aacc37dc44a0e410587" alt="link to glue poster for NSF SSI">2018 NSF SI<sup>2</sup> PI Meeting</a></h3>
<p>glue: Linked-View Exploratory Visualization of High-Dimensional Data, for Everyone</p>
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<h3>Video: <a href="https://youtu.be/iU6itosUWZs">Greece 2018</a></h3>
<p>glueing the Universe by Alyssa Goodman at the <a href="http://www.olympiansymposium.org/programme.php" target="_blank">Olympian Symposium 2018: Gas and stars from milli- to mega- parsecs</a> meeting.</p>
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<h3>Video: <a href="https://www.youtube.com/watch?v=1q38cU6WQB0">Talk at CfA 2016</a></h3>
<p>An overview talk of glue by Thomas Robitaille at the Harvard-Smithsonian Center for Astrophysics.</p>
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<h3>Video: <a href="https://youtu.be/-jqB7whGuvs">Exporting to Plotly</a></h3>
<p>Demonstration of exporting plots to Plotly from inside glue.</p>
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<h3>Video: <a href="https://www.youtube.com/watch?v=L1Fb9R4q5lA">Learn to fly glue, fast</a></h3>
<p>A 6-minute tutorial demonstrating many core features of glue. Go <a href="https://www.gluesolutions.io/airplanes-demo">here</a> for the full demo, including all necessary files.</a></p>
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<h3>Video: <a href="https://www.youtube.com/watch?v=qO3RQiRjWA4">glue in 2 minutes</a></h3>
<p>A 2-minute introductory glue demo, highlighting the concepts of linking and brushing.</p>
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