feffery-infographic is a Plotly Dash component library built on top of AntV Infographic. Its goal is to bring the capabilities of this next-generation declarative information visualization engine into the Python Dash ecosystem.
It allows Dash developers to build vivid, expressive infographics directly in Python, making data storytelling simpler and more efficient.
Key Features
Declarative Syntax: Inherits the core design of AntV Infographic, allowing you to describe complex visual scenarios with simple configurations.
AI-Friendly: The underlying architecture is optimized for AI generation, making it particularly suitable for building “Text-to-Chart” AI applications using LLMs.
Out-of-the-Box: Includes a rich set of built-in infographic templates and assets to help you build professional-grade visuals quickly.
Installation
The project is currently in the early preview stage. Feel free to try it out via pip:
pip install feffery-infographic -U
Simple Usage
import dash
from dash import html
import feffery_infographic as fi
app = dash.Dash(__name__)
app.layout = html.Div(
[
fi.Infographic(
syntax="""
infographic list-row-simple-horizontal-arrow
data
items
- label 步骤 1
desc 开始
- label 步骤 2
desc 进行中
- label 步骤 3
desc 完成
""",
)
],
style={'padding': 50},
)
if __name__ == '__main__':
app.run(debug=True)
It looks very cool, so I tried it, the cylindrical one. I wanted to convert the distribution of pianotypes and was very happy with the possibility of the browser translating Chinese? into English (before your online demo was published).
do you have a coding example were you dynamically transform columns of a dataframe into label-description combinations and insert it into markdown?
is there documentation where you can see which part of the visual is dynamic and which part static (see below, I more or less expected that the 1 on the cylinder would become 35. Maybe I just missed something, very well possible.
For the example in your screenshot, the numbers on the cylinder of this chart template should be in a fixed form starting from 1.
If you are not interested in developing an automatic infographic generation function based on Dash + LLM, then the core parameter syntax of the Infographic() component in feffery-infographic can be generated entirely manually. Generation based on structured data such as data frames can be implemented in many AI applications. Recommended steps:
1 Select the type of infographic you are interested in from Gallery – AntV Infographic and copy the original syntax of the example.
Translate to English, keeping it as concise as possible to avoid large blocks of text affecting visual impact:
infographic sequence-circle-arrows-indexed-card
data
title 企业优势列表
desc 展示企业在不同维度上的核心优势与表现值
items
- label 品牌影响力
value 85
desc 在目标用户群中具备较强认知与信任度
time 2021
icon mingcute/diamond-2-fill
illus creative-experiment
- label 技术研发力
value 90
desc 拥有自研核心系统与持续创新能力
time 2022
icon mingcute/code-fill
illus code-thinking
- label 市场增长快
value 78
desc 近一年用户规模实现快速增长
time 2023
icon mingcute/wallet-4-line
illus business-analytics
- label 服务满意度
value 88
desc 用户对服务体系整体评分较高
time 2020
icon mingcute/happy-line
illus feeling-happy
- label 数据资产全
value 92
desc 构建了完整用户标签与画像体系
time 2022
icon mingcute/user-4-line
illus mobile-photos
- label 创新能力强
value 83
desc 新产品上线频率高于行业平均
time 2023
icon mingcute/rocket-line
illus creativity
theme light
palette antv
@nathandrezner As I mentioned in the issue at The SSE interface is not functioning properly, currently, applications deployed via Plotly Cloud cannot access the SSE interface properly. This makes it impossible to demonstrate advanced application functions related to LLM on Plotly Cloud.
Demo App: feffery-infographic-demo-app on Plotly Cloud
What is it?
Key Features
Declarative Syntax: Inherits the core design of AntV Infographic, allowing you to describe complex visual scenarios with simple configurations.
AI-Friendly: The underlying architecture is optimized for AI generation, making it particularly suitable for building “Text-to-Chart” AI applications using LLMs.
Out-of-the-Box: Includes a rich set of built-in infographic templates and assets to help you build professional-grade visuals quickly.
on GitHub: GitHub - HogaStack/feffery-infographic: Plotly Dash components based on AntV Infographic
):
