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 1.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ai_parrot_visualizations-1.2.4.tar.gz | 750.7 kB | With provenance | Details for ai_parrot_visualizations-1.2.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ai_parrot_visualizations-1.2.4-py3-none-any.whl | Python 3 | none | any | Details for ai_parrot_visualizations-1.2.4-py3-none-any.whl |
Total release size: 1.5 MB
Release files / ai_parrot_visualizations-1.2.4.tar.gz
| Download URL | ai_parrot_visualizations-1.2.4.tar.gz |
|---|---|
| Size | 750.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bff9f4f5096b6b12f715a8df2f495452006af50047fdbe12871103a066c52a24
|
|
BLAKE2b-256 checksum How to use checksums |
70fef6f25222c5a34b8a4291e6c44a0d39511c652d0fb5b72a79e20134cecef7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logRelease files / ai_parrot_visualizations-1.2.4-py3-none-any.whl
| Download URL | ai_parrot_visualizations-1.2.4-py3-none-any.whl |
|---|---|
| Size | 779.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6731f0e709aa06ec804802f8b19306c9c5bb38bfd11625634c655ffaebee60ba
|
|
BLAKE2b-256 checksum How to use checksums |
f7d49e493844ce95a622ac3b40a111f76ffe93ea18e955d7b5cd53425fdec458
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logSecurity for ai-parrot-visualizations 1.2.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for ai_parrot_visualizations-1.2.4.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.
Transparency logA note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
