Codespaces vs. Editor.do vs. PyQtGraph vs. Python Comparison Chart

Use the full power of Visual Studio Code, including the editor, terminal, debugger, version control, settings sync, and the entire ecosystem of extensions. Work in the browser or hand off to your desktop. Spin up new dev environment for any sized project in seconds with prebuilt images. GitHub’s own 35GB dev image starts in under 10 seconds. Scale your cloud VMs up to 32 cores and 64GB of RAM. And with low-latency connections across four regions, you won’t even remember it’s not your local machine. Preview your changes in the browser with instant reloads (websocket and HMR support) and share private and public ports with your teammates. Every nerdy detail only you care about, configured just right, backed by your own dotfiles repository.

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.