Bokeh vs. Focos vs. PyQtGraph vs. Python Comparison Chart

Bokeh is an intelligent portfolio platform for professional photographers that grows with your work. Instantly turn your photo library into a stunning website. Upload full-resolution images, set up galleries, and create a professional portfolio that grows with you. You don't need to build pages or edit templates. Craft a cutting-edge portfolio from your photos. Bokeh does the heavy lifting for you. Curate your online photo library with smart albums, metadata, and more to power your portfolio. Upload photos manually, or publish client work and update your portfolio directly from Adobe Lightroom. Upload videos (up to glorious 4K) and show them seamlessly alongside stills on your portfolio and client galleries. Bokeh non-destructively optimizes your photos to be fast and pixel perfect on every device. Bokeh uses AI to get you ranking highly on Google and social networks without any extra effort.

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.