bokeh
There are 675 repositories under bokeh topic.
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
holoviz/panel
Panel: The powerful data exploration & web app framework for Python
spotify/chartify
Python library that makes it easy for data scientists to create charts.
AmoDinho/datacamp-python-data-science-track
All the slides, accompanying code and exercises all stored in this repo. 🎈
holoviz/colorcet
A set of useful perceptually uniform colormaps for plotting scientific data
cuemacro/chartpy
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
verybadsoldier/backtrader_plotting
Plotting addon for backtrader to support Bokeh (and maybe more)
polyaxon/haupt
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
happydasch/btplotting
btplotting provides plotting for backtests, optimization results and live data from backtrader.
timkpaine/lantern
Data exploration glue
phurwicz/hover
:speedboat: Label data at scale. Fun and precision included.
zkwlx/ADI
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。
stefmolin/python-data-viz-workshop
A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.
TiesdeKok/LearnPythonforResearch
This repository provides everything you need to get started with Python for (social science) research.
bokeh/jupyter_bokeh
An extension for rendering Bokeh content in JupyterLab notebooks
andrewcooke/choochoo
Training Diary
PX4/flight_review
web application for flight log analysis & review
ideonate/cdsdashboards
JupyterHub extension for ContainDS Dashboards
aiff22/PyNET-Bokeh
Rendering Realistic Bokeh Images with PyNET
mateeeeeee/Adria-DX11
DirectX11 graphics engine
pmaji/practical-python-data-viz-guide
Resources for teaching & learning practical data visualization with python.
vivoCameraResearch/any-to-bokeh
Any-to-Bokeh is a novel one-step video bokeh framework that converts arbitrary input videos into temporally coherent, depth-aware bokeh effects.
TrainingByPackt/Data-Visualization-with-Python
Discover how Matplotlib and Seaborn can help clearly communicate and present your newly acquired insight
zigguratvertigo/HexBokehBlur
Hexagonal Bokeh Blur
atfortes/BokehDiffusion
[SIGGRAPH Asia 2025] Official code for "Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models."
snowch/movie-recommender-demo
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).
iniself/noba
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.
gnuradio/gr-bokehgui
Web based display for GNU Radio applications
MaksimEkin/COVID19-Literature-Clustering
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
Bauxitedev/godot-particle-dof
Bokeh-esque particle depth of field in Godot 3.0
domvwt/esparto
Data driven report builder for the Python data ecosystem.
PacktWorkshops/The-Data-Visualization-Workshop
A New, Interactive Approach to Learning Data Visualization
cutright/DVH-Analytics
A DICOM Database Application for Radiation Oncology
embodied-computation-group/systole
Systole: A python package for cardiac signal synchrony and analysis
slalit360/Data-Science-ML-Cheat-Sheet-Books-Oreilly-
Data Science + ML Cheat Sheet collection by me
mithi/algorithm-playground
An (old) and unstructured (messy tbh) collection of programming exercises.