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Build interactive data apps and dashboards with Python, no JavaScript required.
Matplotlib is a Python library for creating static, animated, and interactive visualizations.
Interactive data visualization library for Python and JavaScript
Interactive data visualization library for Python, with support for Jupyter Notebooks and Plotly Dash.
Open-source JavaScript charting library behind Plotly and Dash for data visualization
pyecharts is a Python library for creating interactive and customizable data visualization charts.
Interactive UI for visual analysis of dataframes
An open-access book on scientific visualization using Python and Matplotlib for data-driven developers
An open-source machine learning course focused on practical algorithms and data analysis in Python.
Declarative visualization library for Python that makes it easy to create complex charts and plots.
A small, fast chart library for time series, lines, areas, OHLC & bars, optimized for performance.
A Python library that provides customizable Matplotlib styles for scientific plotting and publications.
A highly customizable Flutter chart library that supports various chart types like line, bar, pie, scatter, and more.
Portfolio analytics library for quantitative finance, built with Python
Interactive plotting library for .NET, enabling data visualization in C# applications.
An immediate mode plotting library for C++ that integrates with the ImGui UI library.
A Time Series Visualization Tool for plotting and visualizing data in real-time.
A powerful data exploration and web app framework for Python, with rich visualization and interactive features.
Interactive data analysis tool with machine learning, visualization, and decision tree capabilities
A concise grammar of interactive graphics, built on Vega, for building data visualizations.
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