Plotly

Plotly is a Python library for creating interactive and dynamic visualizations, widely used in data analysis and visualization. It supports a variety of chart types, including line charts, bar charts, scatter plots, heatmaps, and more, and allows users to build interactive dashboards and web-based visual interfaces with ease. Plotly integrates seamlessly with tools like Jupyter Notebook, Pandas, and NumPy, making it a powerful choice for data science, business intelligence, and reporting applications.

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Related Resources

Matplotlib

Matplotlib is the most fundamental and widely used plotting library in Python, supporting various chart types like line plots, bar charts, and scatter plots. It offers high customization and is commonly used in scientific research, engineering, and education, serving as a foundation for many advanced visualization libraries.

Seaborn

Built on top of Matplotlib, Seaborn focuses on statistical visualizations with more attractive default styles and high-level APIs. It's ideal for quickly generating quality statistical graphs such as heatmaps, boxplots, and distribution plots.

Bokeh

Designed specifically for modern web browsers, Bokeh enables building interactive visualizations and dashboards. It integrates well with Pandas and other data tools, making it ideal for developing browser-based data visualization applications.