📊Plotly

NEW

Open-source graphing libraries and platform for interactive, publication-quality visualizations in Python, JavaScript, and R.

DESCRIPTION

Plotly provides interactive charting libraries (plotly.js, plotly.py) and the Dash framework for web apps. It supports a wide range of charts, 3D plots, maps, and scientific visualizations. Features include hover tooltips, zooming, exporting, and JSON-based figure specs. Plotly integrates with Jupyter, web frameworks, and BI workflows. It emphasizes interactivity and reproducibility with declarative syntax. Enterprise offerings add authentication and deployment capabilities. Plotly is widely used for dashboards and exploratory analysis.

ALTERNATIVE DEFINITIONS

Plotly

Plotly is a graphing library for making interactive, publication-quality graphs.

Highlights interactivity and publication-quality output.

Source

Plotly

plotly.js is a high-level, declarative charting library.

Emphasizes declarative API for JavaScript visualizations.

Source

Wikipedia

Plotly is a Canadian computer software company that develops online data analytics and visualization tools.

Frames Plotly as a company with visualization products.

Source

RELATED TERMS

Altair Dash Seaborn plotly.js plotly.py Interactive Charts Web Visualization

COMPETING TERMS

Matplotlib Bokeh ggplot2

KNOWLEDGE AREAS

Platform & Tooling Data Visualization Data Science

TARGET AUDIENCE

Data Scientist BI Specialist Software Developer Analytics Engineer

EXTERNAL SOURCES

• Wikipedia - Plotly
• Plotly - Python graphing library docs
• Plotly - plotly.js documentation
• Plotly - plotly.py source repository

TOP QUESTIONS

What makes Plotly different from Matplotlib?

Plotly focuses on interactivity and web-ready visuals, while Matplotlib emphasizes static, publication-quality figures with extensive customization.

Category: Alternatives

How is Plotly used with Dash?

Dash wraps Plotly figures into web applications using Python, enabling interactive dashboards without writing JavaScript.

Category: Example

What data formats work best with Plotly?

Plotly accepts lists, NumPy arrays, pandas DataFrames, and GeoJSON for maps, using a JSON figure specification.

Category: Requirements

What are common mistakes when using Plotly?

Overplotting too many traces or rendering massive datasets without downsampling can harm performance and responsiveness.

Category: Mistakes

Does Plotly support 3D and geospatial charts?

Yes, Plotly offers 3D surfaces, scatter3D, and mapbox/cartographic charts.

Category: Definition

Why is Plotly still relevant?

Its interactive capabilities and cross-language support make it ideal for modern dashboards and exploratory analysis.

Category: Relevancy

How to deploy Plotly dashboards at scale?

Use Dash Enterprise or containerize Dash apps with Kubernetes and reverse proxies for production.

Category: Management

What is a hot topic around Plotly?

Efficiently rendering large datasets using WebGL traces and server-side aggregations.

Category: Topic

How to start learning Plotly?

Begin with Plotly’s official tutorials and galleries, then build small dashboards using Dash.

Category: Tutorial