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.

Training Diary

web application for flight log analysis & review

JupyterHub extension for ContainDS Dashboards

Rendering Realistic Bokeh Images with PyNET

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.

Data driven report builder for the Python data ecosystem.

A DICOM Database Application for Radiation Oncology

Systole: A python package for cardiac signal synchrony and analysis

A financial data processing and visualization platform using Apache Kafka, Apache Cassandra, and Bokeh.

A type safe and backend independent plotting library for Python.