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 Aug 25, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.3.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for phenobarbital from gravatar.com phenobarbital

Credits

Author: Jesus Lara

GitHub Statistics

Data verified by PyPI on Aug 25, 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

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ai_parrot_visualizations-0.2.1.tar.gz (502.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ai_parrot_visualizations-0.2.1-py3-none-any.whl (522.4 kB view details)

Uploaded Python 3

File details

Details for the file ai_parrot_visualizations-0.2.1.tar.gz.

File metadata

  • Download URL: ai_parrot_visualizations-0.2.1.tar.gz
  • Upload date:
  • Size: 502.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for ai_parrot_visualizations-0.2.1.tar.gz
Algorithm Hash digest
SHA256 abee4f411c29f17bc0b58074d51110283ab15ce912de917ef5924981dfdb4346
MD5 d691d0d71184bdece5cc3ee47f5da3de
BLAKE2b-256 56a23e041a02b050ed4b5defd1317996a7d2b0c0ad9b458d6cc28083fc87cd13

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_visualizations-0.2.1.tar.gz:

Publisher: release.yml on phenobarbital/ai-parrot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ai_parrot_visualizations-0.2.1-py3-none-any.whl.

File metadata

File hashes

Hashes for ai_parrot_visualizations-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 079897e0b369fa48381dd6cd18c3ad201326667582e9f7b6f730491a76747d85
MD5 8dc5ae0b017a6eeb5f7ecf7856fa1fe4
BLAKE2b-256 5117a6a325ecaaaed6d17909c5f3bb88896105a361889e1d8e35cbaeae28e169

See more details on using hashes here.

Provenance

The following attestation bundles were made for ai_parrot_visualizations-0.2.1-py3-none-any.whl:

Publisher: release.yml on phenobarbital/ai-parrot

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.3.0

2 files

This release

0.2.1 This release

2 files

0.2.0

1 file

0.1.36

2 files

0.1.35

2 files

0.1.34

2 files

0.1.33

1 file

0.1.32

2 files

0.1.31

2 files

0.1.29

1 file

0.1.28

1 file

0.1.27

2 files

0.1.26

2 files

0.1.25

2 files

0.1.22

2 files

0.1.21

2 files

0.1.20

2 files

0.1.19

2 files

0.1.18

2 files

0.1.17

2 files

0.1.16

2 files

0.1.14

2 files

0.1.13

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.1

2 files

0.1.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page