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

Data exploration glue

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

🚤 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。

An extension for rendering Bokeh content in JupyterLab notebooks

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

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

Training Diary

web application for flight log analysis & review

JupyterHub extension for ContainDS Dashboards

Rendering Realistic Bokeh Images with PyNET

DirectX 11 graphics engine