https://github.com/h2oai/nitro-bokeh
Bokeh plugin for H2O Nitro
https://github.com/h2oai/nitro-bokeh
apps bokeh bokeh-dashboard bokeh-plot charting-library charts data-visualization h2o-nitro plugin python visualization
Last synced: 11 months ago
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Bokeh plugin for H2O Nitro
- Host: GitHub
- URL: https://github.com/h2oai/nitro-bokeh
- Owner: h2oai
- License: apache-2.0
- Created: 2022-05-25T17:04:59.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2025-03-17T07:42:29.000Z (about 1 year ago)
- Last Synced: 2025-06-13T20:53:53.784Z (about 1 year ago)
- Topics: apps, bokeh, bokeh-dashboard, bokeh-plot, charting-library, charts, data-visualization, h2o-nitro, plugin, python, visualization
- Language: Python
- Homepage: https://nitro.h2o.ai/plugins/
- Size: 254 KB
- Stars: 3
- Watchers: 40
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Bokeh plugin for H2O Nitro
This plugin lets you use [Bokeh](https://docs.bokeh.org/en/latest/) visualizations in [Nitro](https://github.com/h2oai/nitro)
apps.
## Demo
[View source](examples/bokeh_basic.py).
## Install
```
pip install h2o-nitro-bokeh
```
## Usage
1. Import the plugin:
```py
from h2o_nitro_bokeh import bokeh_plugin, bokeh_box
```
2. Register the plugin:
```py
nitro = View(main, title='My App', caption='v1.0', plugins=[bokeh_plugin()])
```
3. Use the plugin:
```py
# Make a plot
x = [1, 2, 3, 4, 5]
y = [6, 7, 2, 4, 5]
p = figure(title="Simple line example", x_axis_label="x", y_axis_label="y")
p.line(x, y, legend_label="Temp.", line_width=2)
# Display the plot
view(bokeh_box(p))
```
## Change Log
- v0.2.1 - Jun 09, 2022
- Fixed
- Don't return value from plots.
- v0.2.0 - May 39, 2022
- Perf
- Quicker loading
- v0.1.0 - May 25, 2022
- Initial Version