.. _sphx_glr_auto_examples_Benchmarks:

Benchmarks
----------

Timing comparisons for the Python-side data-push pipeline in anyplotlib,
matplotlib, Plotly, and Bokeh.  All measurements capture only the
**Python serialisation cost** — the bottleneck in a live Jupyter session
where new data must be encoded and dispatched to the browser on every frame.



.. raw:: html

  <div id='sg-tag-list' class='sphx-glr-tag-list'></div>


.. raw:: html

    <div class="sphx-glr-thumbnails">

.. thumbnail-parent-div-open

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="There are a couple of different &quot;costs&quot; asscociated with rendering plots and images. There is usually a Python-side cost as well as a browser-side rendering cost. We&#x27;ve broken down those two costs here comparing different libraries for the first cost.  The second is harder to measure.  We&#x27;ve done it for anyplotlib but doing it for ipympl, bokeh and plotly is a little more difficult.">

.. only:: html

  .. image:: /auto_examples/Benchmarks/images/thumb/sphx_glr_plot_benchmark_comparison_thumb.png
    :alt:

  :doc:`/auto_examples/Benchmarks/plot_benchmark_comparison`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Plot Update Comparison</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/Benchmarks/plot_benchmark_comparison