// data-visualization
Interactive Visualization Library
Plotly offers a range of interactive plotting options and is known for its advanced graphics and interactivity, supporting complex visualizations with ease. Perfect for creating web-based dashboards.
Python data engineers use Plotly to build interactive charts for pipeline monitoring dashboards, data quality reports, and stakeholder-facing analytics. Plotly Express integrates directly with Pandas DataFrames, making it straightforward to visualise query results, model outputs, and trend data. The Dash framework extends Plotly into full web applications with dropdowns, sliders, and callbacks — enabling data teams to build internal tools without a separate frontend.
Plotly offers a range of interactive plotting options and is known for its advanced graphics and interactivity, supporting complex visualizations with ease. Perfect for creating web-based dashboards.
Plotly offers free / paid pricing options.
Plotly is listed under the Data Visualization category on Python Data Engineering.
Details
Category
Data Visualization →Related
| Tool | Pricing | Rating | |
|---|---|---|---|
MA Matplotlibfeatured Comprehensive Visualization Library | Free | ★ 4.8 | → |
SE Seabornfeatured Statistical Data Visualization | Free | ★ 4.7 | → |
BO Bokeh Interactive Web Visualizations | Free | ★ 4.6 | → |