May 11, 20251 yr These libraries support interactive plots, dashboards, and scientific visualizations, which are crucial for model debugging, data exploration, and storytelling in AI projects. Tools: Matplotlib – The foundational library for static plots in Python. Supports histograms, line charts, scatter plots, and is highly customizable. Seaborn – A high-level wrapper over Matplotlib offering prettier plots and statistical visualizations. Great for heatmaps, violin plots, and correlation charts. Bokeh – Enables interactive and browser-based plots. Supports streaming data and dashboards for real-time AI apps. HiPlot by Meta – A powerful tool for visualizing high-dimensional hyperparameter tuning results. Designed to support model optimization workflows. Infogram – A web-based platform for creating professional, interactive infographics. Suitable for presenting AI results to non-technical stakeholders.
Create an account or sign in to comment