Visualize large time series data with plotly.py
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Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
⚡ Datoviz: high-performance GPU rendering for scientific data visualization
AI drew your research figure. Tavotto makes it publication-ready: edit matplotlib and AI-generated figures on a canvas, lay out multi-panel pages in mm, check journal rules before export. Scripts stay untouched.
Main yt repository
A python package for animating plots build on matplotlib.
High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.
Materials for GWU DNSC 6279 and DNSC 6290.
孩子生日想办麦当劳派对？全国281城3664家门店哪里能办，26款体验活动一图查完。基于官方MCP只读采集+可视化。
The power of Chart.js with Python
基于麦当劳官方 MCP 的对话式 AI Skill，支持餐品推荐、门店比价、优惠查询、营养计算和探索记录，并通过 Python 生成体素风格分享图片。
High performance, editable, stylable datagrids in jupyter and jupyterlab
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.