.. _sphx_glr_auto_examples_integrations:

Integrations
------------

These examples show how `skore` integrates with other libraries of the Python data
science ecosystem.



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    <div class="sphx-glr-thumbcontainer" tooltip="The primilarly goal of skore is to create data science artifacts in the form of structured reports. Those reports can easily be used programmatically via the Python API. A subsequent aim is to store those reports that you create during your experiment cycle in a way that it is easy to retrieve them later on.">

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  .. image:: /auto_examples/integrations/images/thumb/sphx_glr_plot_skore_mlflow_project_thumb.png
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  :doc:`/auto_examples/integrations/plot_skore_mlflow_project`

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      <div class="sphx-glr-thumbnail-title">Store and retrieve Skore reports in MLflow</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use Project in hub mode: store reports remotely and inspect them. A key point is that summarize returns a Summary, which is a pandas.DataFrame. In Jupyter you get an interactive widget, but you can always inspect and filter the summary as a DataFrame if you prefer.">

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  .. image:: /auto_examples/integrations/images/thumb/sphx_glr_plot_skore_hub_project_thumb.png
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  :doc:`/auto_examples/integrations/plot_skore_hub_project`

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      <div class="sphx-glr-thumbnail-title">Store and retrieve reports on Skore Hub</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use skore with scikit-learn compatible estimators.">

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  .. image:: /auto_examples/integrations/images/thumb/sphx_glr_plot_sklearn_api_thumb.png
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  :doc:`/auto_examples/integrations/plot_sklearn_api`

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      <div class="sphx-glr-thumbnail-title">Using skore with scikit-learn compatible estimators</div>
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    </div>


.. toctree::
   :hidden:

   /auto_examples/integrations/plot_skore_mlflow_project
   /auto_examples/integrations/plot_skore_hub_project
   /auto_examples/integrations/plot_sklearn_api