Content Comparison

<p>(This page is automatically generated, please contact Python Engine maintainers to change this page)</p><p>Every Every version of the Python Engine engine comes with 3 flavours:</p><div class="table-wrap"><table data-layout="default" data-local-id="e4b0d83c-beab-48c0-a7ac-86ee2847e05a" class="confluenceTable"><colgroup><col style="width: 380.0px;"/><col style="width: 380.0px;"/></colgroup><tbody><tr><th class="confluenceTh"><p><strong>Image</strong></p></th><th class="confluenceTh"><p><strong>Description</strong></p></th></tr><tr><td class="confluenceTd"><p><code>pyfx</code></p></td><td class="confluenceTd"><p>Minimal image containing only the <code>pyfx</code>

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For v11, those flavours contains the following libraries (and their dependencies):</p><ul><li><p><code>pyfx</code>

• pyfx contains:

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• • python = "3.12."

  • fastavro

  • filelock

  • jsonschema

  • numpy

  • pandas

  • requests

  • requests-toolbelt

  • SecretStorage

  • setuptools
    

• datascience contains pyfx libraries and dependencies, plus the following:

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• • dython,

  • graphviz,

  • igraph,

  • imbalanced-learn,

  • joblib,

  • jpmml-evaluator,

  • leidenalg,

  • lightgbm,

  • matplotlib,

  • onnxconverter-common,

  • onnxmltools,

  • onnxruntime,

  • optuna,

  • pynndescent,

  • sacred,

  • scikit-learn,
    scipy,

  • shape,

  • sklearn-pandas,

  • sklearn2pmml,

  • SQLAlchemy,

  • statsmodels,

  • sympy,

  • umap-learn,

  • xgboost,

• neural contains pyfx and datascience libraries and dependencies, plus the following:

  • BERTopic,

  • darts,

  • inflect,

  • neuralprophet,

  • sentence-transformers,

  • tensorflow,

  • torch,

  • torchviz