Drop-in scientific plotting skill for Claude Code, Codex, Cursor, and other coding agents.
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Updated
Sep 5, 2026 - Python
Drop-in scientific plotting skill for Claude Code, Codex, Cursor, and other coding agents.
An unofficial, source-backed AI Agent Skill for generating and auditing Elsevier-style manuscript figures.
AI-powered plotting gallery. One spec, 15 libraries across Python, JavaScript, R and Julia — matplotlib, plotly, ggplot2, D3, Makie & more. Compare and copy working code.
plotnineSeqSuite: a Python package for visualizing sequence data using ggplot2 style
An Interactive and Highly Customizable Single-Cell and Spatial Biology Plotting Library
Matplotlib style sheets based on ggplot2 (in R)
Carpentry-style lesson on how to use R, RStudio together with git & Github to promote Open Science practices.
MCP server bringing ggplot2's grammar of graphics to Python via plotnine. Create publication-quality statistical visualizations through natural language with AI assisted IDEs like Claude-Code, Cursor and VSCode
Python version of ggseqlogo. Based on plotnine (Python version of ggplot2). A derivative of plotnineSeqSuite.
PlotBase (Figure Memory) MCP Server - 科研图表档案与 Agent 上下文管理系统 MCP 服务
Embed Dota meta in 2 dimensions
🎨 Discover a Model Context Protocol server that enables AI-driven data visualization with plotnine, merging ggplot2’s power with natural language interaction.
Python package repository for quantifying Magnaporthe oryzae colony growth, morphology, cracking, and texture from time-series Petri-dish images.
Visualize NYT dataset (DSRE task). Relations and Entity types
Automated NBA shot chart and heat map generator built with Python, R, and the NBA API.
论文 ChartGen-Agent: A Three-Stage Framework for Automated High-Quality Chart Generation 的实验代码
Repository containing Machine Learning projects in Python and R completed by me for self learning purpose. The Projects are presented in the form of python(.py) files , R(.R) files and the output is visualized using matplotlib and ggplot libraries and presented as pdf file.
R-based neuroimaging analytics pipeline built at the Northwestern University Mesulam Center. Includes automated multi-modal PET/MRI reporting (R Markdown + cron), amyloid SUVr/visual read QC, and Tau PET discrepancy analysis via REDCap API.
Python scraper and R data visualizations of various popular TV shows, with data from IMDb
Data pipeline and analysis work for the popular app HQ Trivia - work was featured in Washington Post, Money, and Wall Street Journal
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