Interactive Data Visualization in the browser, from Python

Panel: The powerful data exploration & web app framework for Python

Python library that makes it easy for data scientists to create charts.

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.

Data exploration glue

:speedboat: 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.

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

web application for flight log analysis & review

JupyterHub extension for ContainDS Dashboards

Rendering Realistic Bokeh Images with PyNET

DirectX11 graphics engine

[ICLR2026] Any-to-Bokeh is a novel one-step video bokeh framework that converts arbitrary input videos into temporally coherent, depth-aware bokeh effects.

[SIGGRAPH Asia 2025] Official code for "Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models."

Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight

Resources for teaching & learning practical data visualization with python.

Hexagonal Bokeh Blur

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

Noba not only backtrader as a quantitative investment platform, but also visualized using bokeh, which can get richer plot effects. Additionally, Noba also provide 'Ioc Container', 'Event System', 'Database Abstraction Layer', 'Pipeline System' and more.

Web based display for GNU Radio applications

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Bokeh-esque particle depth of field in Godot 3.0