Bokeh PyQtGraph

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Bokeh:

About

Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.
PyQtGraph:

About

PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.
Bokeh:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
PyQtGraph:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Bokeh:

Audience

DevOps teams searching for a visualization library solution
PyQtGraph:

Audience

Professional users interested in a solution offering scientific graphics and a GUI library for Python
Bokeh:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
PyQtGraph:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Bokeh:

API

Offers API Supported
PyQtGraph:

API

Offers API Not Supported
Bokeh:

Screenshots and Videos

PyQtGraph:

Screenshots and Videos

Bokeh:

Pricing

Free
Free Version Supported
Free Trial Not Supported
PyQtGraph:

Pricing

Free
Free Version Supported
Free Trial Not Supported
Bokeh:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
PyQtGraph:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Bokeh:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
PyQtGraph:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Bokeh:

Company Information

Bokeh
bokeh.org
PyQtGraph:

Company Information

PyQtGraph
www.pyqtgraph.org
Bokeh:

Alternatives

PyQtGraph:

Alternatives

Bokeh:
PyQtGraph:
Bokeh:
Plotly Dash

Plotly Dash

Plotly
4.5 out of 5 stars
PyQtGraph:
h5py

h5py

HDF5
Bokeh:
Focos

Focos

Bending Spoons Apps
PyQtGraph:
Bokeh:
PyQtGraph:
Bokeh:

Categories

PyQtGraph:

Categories

Bokeh:

Integrations

Python Supported
Google Maps Supported
JavaScript Supported
PyQtGraph:

Integrations

Python Supported
Google Maps Not Supported
JavaScript Not Supported
Bokeh:
Claim Bokeh and update features and information
Claim Bokeh and update features and information
PyQtGraph:
Claim PyQtGraph and update features and information
Claim PyQtGraph and update features and information