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.

Project links

Data verified by PyPI on Sep 13, 2026
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Latest release

1 maintainer

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Credits

Author: Jesus Lara

GitHub Statistics

Data verified by PyPI on Sep 13, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.11

Provides Extra

matplotlib seaborn plotly altair echarts map infographic jinja2 streamlit panel messaging charts a2ui a2ui-pdf all

Tags

ai visualization charts infographic renderers

Classifiers

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