bokeh

Interactive Data Visualization in the browser, from Python

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

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

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

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

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

Data exploration glue

🚤 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。

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

This repository provides everything you need to get started with Python for (social science) research.

Training Diary

An extension for rendering Bokeh content in JupyterLab notebooks

A workshop on data visualization in Python with notebooks and exercises for following along.

JupyterHub extension for ContainDS Dashboards

web application for flight log analysis & review

Rendering Realistic Bokeh Images with PyNET

Resources for teaching & learning practical data visualization with python.