ai-parrot-visualizations 0.1.7

Visualization renderers for AI-Parrot outputs

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.