Matplotlib — comprehensive Python library for creating static, animated, and interactive visualizations. Provides publication-quality figures with fine-grained control over every plot element via the
Use with AI
Install the MCP server or CLI to instantly fetch Matplotlib documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/matplotlib
Bandage (a Bioinformatics Application for Navigating De novo Assembly Graphs Easily) — interactive visualization tool for de novo assembly graphs in GFA and FASTG formats. Visualize genome assembly gr
1 shared topic • 1 shared operation
ggplot2 — grammar of graphics implementation in R for creating complex, layered statistical visualizations. Supports scatter plots, bar charts, histograms, boxplots, heatmaps, faceted plots, and custo
1 shared topic • 1 shared operation
gt (Grammar of Tables) — R package for creating beautifully formatted, publication-ready display tables from data frames and tibbles. Provides a layered API for headers, spanners, column labels, numer
1 shared topic • 1 shared operation
Use when working with NetworkX, graph analysis in Python, biological network analysis, protein-protein interaction networks, gene regulatory networks, metabolic networks, pathway analysis, network top
1 shared topic • 1 shared operation
Seaborn — statistical data visualization library built on matplotlib. Provides high-level functions for relational plots (scatterplot, lineplot), distribution plots (histplot, kdeplot, ecdfplot), cate
1 shared topic • 1 shared operation