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TensorBoard is a web-based dashboard that visualizes machine learning experiment metrics, model graphs, and data distributions to help developers debug and optimize their models.

Apache Superset is an open-source web application for exploring, querying, and visualizing data from multiple databases through interactive dashboards and charts.

Seaborn is a Python library for creating statistical data visualizations with a high-level interface.

Redash is an open-source tool for connecting to databases, running SQL queries, and creating visual dashboards.

Rawgraphs is a free, open-source web tool that lets users create custom data visualizations by dragging and dropping data into chart templates, without needing to code.

PyGWalker converts pandas DataFrames into an interactive, drag-and-drop visualization interface inside Jupyter notebooks.

Plotly provides software for building, deploying, and sharing interactive data visualizations and dashboards, with tools ranging from an AI-powered app builder to enterprise-grade deployment platforms.

Matplotlib is an open-source Python library for creating static, animated, and interactive visualizations, ranging from simple line plots to complex publication-quality figures.

A web-based tool for creating and publishing charts, maps, and tables without writing code.

Bokeh is an open-source Python library for creating interactive web-based visualizations and dashboards.