浏览器中的交互式数据可视化,来自Python
interactive-plots 开源项目推荐(29 个)
interactive-plots 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 前 20
按 Star 数排序展示前 20 个 · GitHub 共 29 个仓库快速构建可解释 AI 仪表板,展示所谓“黑盒”机器学习模型的内部运作。
web application for flight log analysis & review
ggplot to loon
Comprehensive, detailed and interactive plots for STRUCTURE and ADMIXTURE population analysis
Open-Source Hypervideo Player
geneSurv: an interactive web-based tool for survival analysis in genomics research
Interactive figure and animation of 484 site data time series
An R package for automatically aggregating and summarizing lncRNA analysis results.
R package for the RNA Centric Annotation System (RCAS)
Implementation of Hampel filter in Python, including multiprocessor support, and interactive plotting with plotly and IPywidgets.
Cambridge University Computer Laboratory weather station R shiny web app
Interactive plots of Gapminder data using Bokeh
Script developed to plot any sort of molecular data with molecular compound images hovering in graph.
Matplotlib wrapper with some customisations to plot pretty graphs with very few lines of code. Plots can be updated using an interactive GUI.
Diverse Data Visualization é um repositório pronto-para-usar com 12 exemplos de gráficos em Python (Matplotlib, Plotly).
How to create interactive plots and intelligent dashboards with Plotly, Python, and the Dash library!
Toolkit for publication-ready interactive Plotly figures: OLS confidence and prediction bands, LOWESS, bootstrap CIs, z-score anomaly flags, colour-vision-safe palettes, LTTB downsampling for million-point series and provenance-tagged exports, plus notebooks, a CLI and a Streamlit app, all typed and tested.
Light, server-free interactivity for Makie plots in Pluto
Сайт для размещения интерактивных визуализаций
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 20 个项目;原始页面见 https://github.com/topics/interactive-plots。
- 该话题在 GitHub 上共有 29 个仓库, 本站收录的是其中最热门的 20 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 20 个项目累计 2.3 万 Star,覆盖 7 种主要语言,数据更新于 2026-11-06。
- 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。