ai-parrot-visualizations
Visualization renderer backends for the AI-Parrot framework.
Provides heavy visualization renderers (matplotlib, seaborn, plotly, altair, bokeh,
holoviews, echarts, d3, folium, infographic) as a separate installable package,
keeping the core ai-parrot package lightweight.
Installation
# Install all renderers
pip install "ai-parrot-visualizations[all]"
# Install specific renderer groups
pip install "ai-parrot-visualizations[matplotlib,seaborn]"
pip install "ai-parrot-visualizations[plotly,altair]"
pip install "ai-parrot-visualizations[charts]" # all chart renderers
pip install "ai-parrot-visualizations[infographic]" # infographic renderers
pip install "ai-parrot-visualizations[messaging]" # card/slack/whatsapp
Usage
Import paths are unchanged — the PEP 420 namespace merging makes satellite renderers transparent to the consumer:
from parrot.outputs.formats import get_renderer
from parrot.models.outputs import OutputMode
# Works the same whether renderer is in core or satellite
renderer_cls = get_renderer(OutputMode.MATPLOTLIB)
result = renderer_cls.render(data)
Available Extras
| Extra | Renderers | Dependencies |
|---|---|---|
matplotlib |
MatplotlibRenderer | matplotlib>=3.7 |
seaborn |
SeabornRenderer | seaborn>=0.13, matplotlib>=3.7 |
plotly |
PlotlyRenderer | plotly>=5.0 |
altair |
AltairRenderer | altair>=5.0 |
bokeh |
BokehRenderer | bokeh>=3.0, pandas-bokeh>=0.5 |
holoviews |
HoloviewsRenderer | holoviews>=1.18 |
echarts |
EChartsRenderer | (JS-based, no Python deps) |
d3 |
D3Renderer | (JS-based, no Python deps) |
map |
MapRenderer | folium>=0.14 |
infographic |
InfographicRenderer, InfographicHTMLRenderer | cairosvg, svglib, reportlab |
jinja2 |
Jinja2Renderer, TemplateReportRenderer | jinja2>=3.0 |
streamlit |
StreamlitGenerator | streamlit>=1.30 |
panel |
PanelGenerator | panel>=1.0 |
messaging |
CardRenderer, SlackRenderer, WhatsAppRenderer | (no heavy deps) |
charts |
All chart renderers | (all chart deps above) |
all |
Everything | (all deps above) |
Architecture
This package uses PEP 420 implicit namespace packages to contribute to the
parrot.outputs.formats namespace without requiring entry-points. When both
ai-parrot and ai-parrot-visualizations are installed, Python merges their
parrot/outputs/formats/ directories via extend_path().
License
MIT — see the LICENSE file.
1 maintainer
Metadata
1 maintainer
Release files for ai-parrot-visualizations 1.2.5
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