Interactive Data Visualization in the browser, from Python
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Updated
Jun 7, 2024 - Python
Interactive Data Visualization in the browser, from Python
All the slides, accompanying code and exercises all stored in this repo. 🎈
Panel: The powerful data exploration & web app framework for Python
Python library that makes it easy for data scientists to create charts.
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
web application for flight log analysis & review
Plotting addon for backtrader to support Bokeh (and maybe more)
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
btplotting provides plotting for backtests, optimization results and live data from backtrader.
The James Webb Space Telescope Quicklook Application
JupyterHub extension for ContainDS Dashboards
Training Diary
Systole: A python package for cardiac signal synchrony and analysis
A DICOM Database Application for Radiation Oncology
Rendering Realistic Bokeh Images with PyNET
Data exploration glue
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.
Add a description, image, and links to the bokeh topic page so that developers can more easily learn about it.
To associate your repository with the bokeh topic, visit your repo's landing page and select "manage topics."