quantstack.github.io/projects.html at add_contrib · davidbrochart/quantstack.github.io · GitHub

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    <title>QuantStack PROJECTS</title>

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        <p class="petit-titre">PROJECTS</p>
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        <h1 class="col-md-10 col-md-push-1">QuantStack developers are behind major open-source scientific computing project which you already use and love, including Jupyter, Xtensor, Voilà, and many others.</h1>
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                <h3 class="secondaire">Project Jupyter</h3>
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            <p>The QuantStack team comprises five core contributors and maintainers of <a href="https://jupyter.org/">Project Jupyter</a>, including <a href="https://github.com/jupyterlab/jupyterlab/">JupyterLab</a>, the <a href="https://github.com/jupyter/notebook/">classic notebook</a>, <a href="https://gitter.im/jupyterhub">JupyterHub</a>, <a href="https://github.com/jupyter-widgets/ipywidgets/tree/master/ipywidgets">ipywidgets</a>, and more.</p>
            <p>The team also includes the main authors of popular Jupyter widget packages, such as <a href="https://github.com/jupyter-widgets/ipyleaflet">ipyleaflet</a> (interactive maps visualization toolkit), <a href="https://github.com/bloomberg/bqplot">bqplot</a> (2-D plotting), <a href="https://github.com/maartenbreddels/ipywebrtc/">ipywebrtc</a> (audio and video streaming), <a href="https://github.com/matplotlib/jupyter-matplotlib">ipympl</a> (Jupyter-Matplotlib integration), <a href="https://github.com/maartenbreddels/ipyvolume">ipyvolume</a> (3-D data visualization and volume rendering).</p>
            <p>We are also responsible for the development of the <a href="https://github.com/jupyterlab/debugger">JupyterLab visual debugger</a>, and other Lab extensions such as the JupyterLab <a href="https://github.com/jupyter-widgets/jupyterlab-sidecar.git">sidecar</a>, and the <a href="https://github.com/QuantStack/jupyterlab-drawio.git">drawio integration</a>.</p>
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            <p>For our customers, we have integrated, customized, and developed complex JupyterLab front-end extensions, widget libraries. We have deployed JupyterHub in large enterprise settings, integrating with corporate SSOs.</p>
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                <h3 class="secondaire">Xtensor</h3>
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            <p>QuantStack is the main organization behind the <a href="https://github.com/xtensor-stack/xtensor">Xtensor</a> project, a <i>fast</i> N-D array library in modern C++, with <a href="https://github.com/xtensor-stack/xtensor-python">Python</a>, <a href="https://github.com/xtensor-stack/xtensor-r">R</a>, and <a href="https://github.com/xtensor-stack/xtensor-julia">Julia</a> bindings.</p>
            <p>With the Xtensor project, we strive to offer high-level C++ API similar to the NumPy API, but the performance of fine-tuned SIMD-accelerated code.</p>
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                <h3 class="secondaire">RoboStack</h3>
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            <p>We started the RoboStack initiative, a project to bring together the PyData, Jupyter, and ROS stack, into a unified toolkit, including a rich ROS and Jupyter integration and the packaging of ROS packages with conda.</p>
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            <p>We are the team the <a href="https://github.com/jupyter-xeus/xeus">Xeus</a> framework, which comprises a reference implementation of the Jupyter kernel protocol in C++, and several new Jupyter kernels, such as <a href="https://github.com/jupyter-xeus/xeus-cling">xeus-cling</a>, the C++ Jupyter kernel, and <a href="https://github.com/jupyter-xeus/xeus-python">xeus-python</a>, an alternative Python kernel implementing the Jupyter debugger protocol.</p>
            <p>Xeus is now officially part of the Jupyter project.</p>
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                <h3 class="secondaire">Voilà</h3>
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            <p>We are the creators of <a href="https://github.com/voila-dashboards/voila">Voilà</a>, which can transform Jupyter notebooks into standalone web applications and dashboards.</p>
            <p>Voilà has been incorporated as a Jupyter subproject.</p>
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                <h3 class="secondaire">Mamba</h3>
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            <p>Our latest endeavor is the <a href="https://github.com/QuantStack/mamba">Mamba</a> project, a <i>fast</i> drop-in replacement for the conda package manager.</p>
            <p>Mamba can be several orders of magnitude faster than conda to resolve compatibility contraints of conda environment, especially when dealing with large package respositories such as <a href="https://conda-forge.org/">conda-forge</a>.</p>
            <p>Mamba is currently being adopted in large corporate settings.</p>
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