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How to use Neptune with Bokeh#

Open in Colab

Bokeh is a Python library for creating interactive visualizations for modern web browsers. With Neptune, you can log and display Bokeh charts as interactive HTML.

Bokeh figure in Neptune

See in Neptune  Example script 

Before you start#

  • Sign up at
  • Create a project for storing your metadata.
  • Have Bokeh and Neptune installed:

    pip install -U bokeh neptune
    conda install -c conda-forge bokeh neptune


To follow the guide without any setup, run the example notebook in Colab

Bokeh logging example#

  1. Import Neptune and start a run:

    import neptune
    run = neptune.init_run() # (1)!
    1. If you haven't set up your credentials, you can log anonymously:

  2. Create a sample figure:

    import numpy as np
    from bokeh.plotting import figure
    N = 500
    x = np.linspace(0, 10, N)
    y = np.linspace(0, 10, N)
    xx, yy = np.meshgrid(x, y)
    d = np.sin(xx) * np.cos(yy)
    p = figure(tooltips=[("x", "$x"), ("y", "$y"), ("value", "@image")])
    p.x_range.range_padding = p.y_range.range_padding = 0
    # Pass a vector of image data as the 'image' argument
        image=[d], x=0, y=0, dw=10, dh=10, palette="Spectral11", level="image"
    p.grid.grid_line_width = 0.5
  3. Upload the interactive figure:

  4. To stop the connection to Neptune and sync all data, call the stop() method:


To open the run, click the Neptune link that appears in the console output.

[neptune] [info ] Neptune initialized. Open in the app:


The resulting figure is logged as an HTML object.

You can view it in the All metadata section.