colorblind friendly color palettes and ggplot2 graphic system extensions for publication-quality scientific figures
figure-maker 开源项目推荐(19 个)
figure-maker 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 19
GitHub 共 19 个仓库,已全部展示quantixed FIJI update site
This helps creating high quality figures for use in manuscripts and presentations.
publication-quality themes and colorblind-friendly palettes for seaborn and matplotlib
Suite of Jupyter Notebook-based tools for interpreting and analyzing standard and capillary gel data.
A simple module for creating publication-quality figures, and recreating them at the press of a button.
C & S's Toolkit
Customisable effect size plots with confidence intervals for scientific presentations and publications
A local-first desktop studio for scientific work.
A processing suite used to turn .feb simulation results into slices, compute strains, create correlations, and generate figures
Sources for private graphics projects: 3D network rack planner, Running figure, Collages, ...
Useful scripts for saving multichannel fluorescence images for use in figures and saving relevant metadata
该项目在 GitHub 上没有填写描述
A simple application that makes the process of creating publication quality block-diagrams simple.
该项目在 GitHub 上没有填写描述
多通道荧光显微图像排版与发表级导出工具 | Multi-channel fluorescence figure layout and publication-ready export (TIFF to PNG / TIFF / SVG / PDF)
figsci package performs many functions in efficient scientific graphics, such as phylogenetic barplot, integrated barplot and scatterplot with statistic, and Gantt Chart.
Python script designed to take in text files produced by GILDAS CLASS of radio astronomical observations and produce publishable figures from it automatically.
元画像をフィギュア、アクスタ、ねんどろいど等、様々な形式の高品質なAIイラストに変換します。Google Gemini Canvas向けに設計された画像生成補助アプリ。
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 19 个项目;原始页面见 https://github.com/topics/figure-maker。
- 该话题在 GitHub 上共有 19 个仓库, 本站收录的是其中最热门的 19 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 19 个项目累计 189 Star,覆盖 8 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。