README.md

PyWebIO Chart Gallery

PyWebIO supports for data visualization with the third-party libraries.

This repo shows examples of data visualization using plotly, bokeh, pyecharts and cutcharts in PyWebIO

• bokeh: Use bokeh for data visualization. demos
• plotly: Interactive, open-source, and browser-based graphing library. demos
• pyecharts: Create Echarts-based charts in Python. demos
• pyg2plot: Create G2Plot-based charts in Python. demos
• cutecharts.py: Create a hand drawing style charts. demos

Charts Snapshot

Bokeh

Plotly

Pyecharts

Cutecharts.py

Run Demo

Start demo

python3 run.py

Rebuild demo

pip3 install -r requirements.txt -r requirements-dev.txt
git submodule update --init --recursive --depth=1
python3 pyecharts_demo/build_demos.py
python3 plotly_demo/build_demos.py
python3 bokeh_demo/build_demos.py