Matplotlib is a plotting library for the Python programming language with capabilities for 2D and 3D plotting. It supports many types of plots, including line plots, histograms, scatter plots, contour plots, and 3D surfaces. It also supports various output formats, including PNG, JPEG, and SVG.
Pandas is a library for data analysis, manipulation, and visualization. It provides high-performance, easy-to-use data structures and data analysis tools for Python.
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.
Plotly is a powerful data visualization platform that enables users to create and share dynamic graphs and data visualizations. With Plotly, users can easily create graphs, dashboards, and data visualizations from data stored in a variety of formats, including Excel, JSON, and SQL.
GGplot2 is a plotting system for R, based on the grammar of graphics, which attempts to take the best of both worlds: the power of traditional graphics systems like PostScript and LaTeX, and the ease of use of modern systems like Mathematica and Matlab.
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