Bokeh Open Source Projects

Interactive Data Visualization in the browser, from Python

stock，股票系统。使用python进行开发。

A web component for visual art and creative coding

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

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

Core Image Filter Explorer & Showcase

Python数据科学速查表

Python Knowledge Handbook by Python数据之道， website： http://liyangbit.com/

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

All the slides, accompanying code and exercises all stored in this repo. 🎈

Bokeh Plotting Backend for Pandas and GeoPandas

Real-time Web Dashboard for Optuna.

A set of useful perceptually uniform colormaps for plotting scientific data

Interactive Web Plotting with Bokeh in IPython notebook

A JupyterLab extension for displaying dashboards of GPU usage.

Collection of general-purpose effects for the ReShade shader injector.

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

:clapper: :mortar_board: An opinionated list of awesome videos related to Python, with a focus on training and gaining hands-on experience.

Plotting addon for backtrader to support Bokeh (and maybe more)

Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon

Depth of field effect for Unity

btplotting provides plotting for backtests, optimization results and live data from backtrader.

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

Data exploration glue

Reimplementation of DRAW

: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。

Smart Python Agent Development Environment

GPU accelerated cross filtering with cuDF.

Anomaly detection library based on singular spectrum transformation(sst)

Bokeh中文文档（翻译暂停）

A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

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

Implementing Different Algorithms to mimic Bokeh Depth Of Field: A Physical Camera Effect created due to Focal Length, Aperture size, shape

NBA shot charts using matplotlib, seaborn, and bokeh.

Cheatsheet

A streamlit component for bi-directional communication with bokeh plots.

Building Python Data Applications with Blaze and Bokeh Tutorial, SciPy 2015

DirectX11 graphics engine

换一种姿势找合适的工作

This is an introduction to tensorflow

Present your data as an effective and compelling story

Quality control tools for nanopore sequencing data

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).