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Integrate Plotly charts into Textual TUI applications with a customizable ChartWidget.
ChartingLib is a modern TUI (Textual User Interface) Python library built with Textual and Plotly, designed for interactive data visualization directly in your terminal.
It provides a rich, responsive interface to display a variety of charts such as Line, Bar, Scatter, Candlestick, GDP trends, and more.
DataProcessing
ChartWidget
) for easy embeddingpip install chartinglib
Hereβs a simple example using ChartWidget
in a Textual app:
from textual.app import App, ComposeResult
from textual.containers import Container
from chartinglib import ChartWidget, DataProcessing
class DemoChartApp(App):
def compose(self) -> ComposeResult:
raw_data = DataProcessing("line").process()
chart = ChartWidget(chart_type="line", data=raw_data)
yield Container(chart)
if __name__ == "__main__":
app = DemoChartApp()
app.run()
line
bar
scatter
candlestick
gdp
revenue
multiple_lines
mixed_bar_line
git clone https://github.com/yourusername/chartinglib
cd chartinglib
pip install -e .[dev]
To run the example app:
python -m chartinglib.app
This project is licensed under the MIT License. See LICENSE for details.
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FAQs
Integrate Plotly charts into Textual TUI applications with a customizable ChartWidget.
We found that chartinglib demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago.Β It has 1 open source maintainer collaborating on the project.
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