June 28, 2024, 5:15 a.m. | Arindam Sahoo

DEV Community dev.to

When it comes to data visualization in Python, three names often come up: Matplotlib, Seaborn, and Plotly. Each of these libraries has its own strengths and weaknesses, catering to different needs and preferences. In this post, we'll explore why Plotly stands out compared to Matplotlib and Seaborn, and also touch upon its limitations.





Why Plotly Shines





1. Interactivity


Plotly is renowned for its interactivity. Unlike Matplotlib and Seaborn, which primarily produce static plots, Plotly generates interactive plots that allow users …

data datascience data visualization explore libraries matplotlib plotly python seaborn visualization

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