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‎docs/site/03-compatibility.md

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title: Compatibility
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<script src="{{ '/assets/js/check_compatibility_helpers.js' | relative_url }}"></script>
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const default_version = 'v242';
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<div class="wrapper">
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<h3 class="truffle__subtitle">GraalPy: Package Compatibility</h3>
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<h3 class="truffle__subtitle">GraalPy: Package Compatibility</h3>
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GraalPy is compatible with many packages for Data Science and Machine Learning, including the popular PyTorch, NumPy, and Huggingface Transformers.
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To try a package, pick any version and only if you run into problems, consult our table below to see if there is a version that may work better.
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<div class="compatibility_page-filter">
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<p class="compatibility_page-item compatibility_page-module compatibility_page-active" data-filter="v242">GraalPy 24.2</p>
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</section> -->
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<!-- Benefits -->
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<section class="content-section">
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<div class="langbenefits">
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<div class="container">
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<h3 class="langpage__title-02"></h3>
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<div class="langbenefits__card">
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<img class="pylogo" src='{{ "/assets/img/python/numpy.svg" | relative_url }}' alt="numpy icon">
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</div>
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<div class="langbenefits__title">
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<h4>Numeric Computing</h4>
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</div>
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<div class="langpage__benefits-text">
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<h5>We test <a href="https://numpy.org/">NumPy</a> across multiple versions and know of multiple deployments where it brings numeric computing to Java.</h5>
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</div>
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</div>
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<div class="langbenefits__card">
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<img class="pylogo" src='{{ "/assets/img/python/scipy.svg" | relative_url }}' alt="scipy icon">
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</div>
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<div class="langbenefits__title">
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<h4>Scientific Computing</h4>
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<div class="langpage__benefits-text">
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<h5><a href="https://scipy.org/">SciPy</a>'s rich library for scientific computing is just a package download away.</h5>
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</div>
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</div>
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<div class="langbenefits__card">
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<div class="langbenefits__icon langbenefits__icon_pylogo">
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<img class="pylogo" src='{{ "/assets/img/python/pandas.svg" | relative_url }}' alt="pandas icon">
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</div>
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<div class="langbenefits__title">
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<h4>Data Processing</h4>
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</div>
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<div class="langpage__benefits-text">
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<h5>Thanks to Arrow, <a href="https://pandas.pydata.org/">Pandas</a> on GraalPy can run multi-threaded while avoiding unneccessary data copies.</h5>
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</div>
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<div class="langbenefits__row">
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<img class="pylogo" src='{{ "/assets/img/python/huggingface.svg" | relative_url }}' alt="huggingface icon">
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</div>
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<div class="langbenefits__title">
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<h4>Models for any Task</h4>
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</div>
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<div class="langpage__benefits-text">
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<h5>The <a href="https://huggingface.co/">Huggingface</a> transformers library works on GraalPy with its huge library of language, vision, and audio models.</h5>
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</div>
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</div>
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<div class="langbenefits__card">
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<div class="langbenefits__icon langbenefits__icon_pylogo">
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<img class="pylogo" src='{{ "/assets/img/python/pytorch.svg" | relative_url }}' alt="pytorch icon">
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</div>
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<div class="langbenefits__title">
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<h4>Training and Inference</h4>
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</div>
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<div class="langpage__benefits-text">
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<h5>Train models and run inference on GraalPy with <a href="https://pytorch.org/">PyTorch</a>, taking full advantage of the latest techniques and accellerator hardware.</h5>
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</div>
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</div>
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<div class="langbenefits__icon langbenefits__icon_pylogo">
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<img class="pylogo" src='{{ "/assets/img/python/autogen.svg" | relative_url }}' alt="pyautogen icon">
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</div>
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<div class="langbenefits__title">
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<h4>Agentic Workflows</h4>
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</div>
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<div class="langpage__benefits-text">
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<h5>With <a href="https://microsoft.github.io/autogen/stable/">Autogen</a> and GraalPy you can write agentic workflows and use Java code to create tools for AI Agents.</h5>
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</div>
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</div>
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</section>
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<h5 class="compatibility-text">Python PackagesGraalPy is compatible with many packages, including packages like
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PyTorch, NumPy, Huggingface Transformers and many more that are used for Data Science and
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Machine Learning. If you want to try a package, first just pick any version and only if you
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run into problems, consult the table below to see if there is a version that may work better.</h5>
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<h5 class="compatibility-text">To ensure GraalPy is compatible with common Python packages,
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the GraalPy team conducts compatibility testing and creates scripts to build and patch many
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of the top packages on PyPI plus some more that are of special interest to us, including

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