浏览器中的交互式数据可视化,来自Python
bokeh 开源项目推荐(739 个)
bokeh 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 739 个仓库Panel: The powerful data exploration & web app framework for Python
Python库使数据科学家可以轻松创建图表。
All the slides, accompanying code and exercises all stored in this repo. 🎈
A set of useful perceptually uniform colormaps for plotting scientific data
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
Plotting addon for backtrader to support Bokeh (and maybe more)
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
btplotting provides plotting for backtests, optimization results and live data from backtrader.
数据探索胶水
🚤 Label data at scale. Fun and precision included.
ADI(Android Debug Intensive) 是通过 JVMTI 实现的 Android 应用开发调试的增强工具集,目前主要提供性能相关的监控能力。
A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.
web application for flight log analysis & review
This repository provides everything you need to get started with Python for (social science) research.
An extension for rendering Bokeh content in JupyterLab notebooks
Training Diary
JupyterHub extension for ContainDS Dashboards
Rendering Realistic Bokeh Images with PyNET
[ICLR2026] Any-to-Bokeh is a novel one-step video bokeh framework that converts arbitrary input videos into temporally coherent, depth-aware bokeh effects.
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/bokeh。
- 该话题在 GitHub 上共有 739 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 3.6 万 Star,覆盖 5 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。