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CodeSkulptor3 vs Spyder

CodeSkulptor3

py3.codeskulptor.org

Spyder

spyder-ide.github.io

Side by side

FigureCodeSkulptor3Spyder
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
Plans published11
Spec score · Python IDEs8.1 (#7)7.5 (#15)
PurposeCodeSkulptor3 is a browser based Python interpreter created for teaching Python, especially to beginners.Spyder is a scientific Python development environment designed for scientists, engineers and data analysts.

Plans

CodeSkulptor3

  • FreeFree

CodeSkulptor3 pricing →

Spyder

  • SpyderFree

Spyder pricing →

In their own words

CodeSkulptor3

CodeSkulptor3 is a browser-based Python interpreter created for teaching Python, especially to beginners. The interface includes an editor and a console that displays printed output and error messages. It implements a subset of Python 3 and adds the SimpleGui, SimpleMap, and SimplePlot graphical libraries. The tool is featured in Coursera’s “Fundamentals of Computing” course, and the maker credits Scott Rixner with building it. Users can save programs to cloud storage under a URL or download saved programs to a computer. Anyone with a saved program’s URL can access its associated file. Collaborative editing sessions can be created or joined, but they are temporary and deleted in about a day. Modern Google Chrome, Mozilla Firefox, and Apple Safari are listed as supported browsers. The documented Python subset excludes constructs including try-except and with statements. Programs can load external files only over HTTPS. The maker says users are anonymous and personal information is not collected. Saved files are stored indefinitely and used to provide the service and anonymous educational research.

Visit py3.codeskulptor.org

Spyder

Spyder is a free, open-source scientific Python development environment for scientists, engineers, and data analysts. Its Editor can create, open, and edit source files, highlight syntax, and run files, lines, selections, or code cells. The IPython Console includes code completion, function calltips, debugger integration, a Variable Explorer, and Matplotlib plots. The Variable Explorer lets users inspect and edit lists, dictionaries, NumPy arrays, and Pandas DataFrames, and plot or visualize supported objects. Spyder 6’s Debugger pane supports execution control, stack navigation, and breakpoint management. The project documents built-in integration with Matplotlib, NumPy, Pandas, and other scientific Python libraries. Standalone installers include Python and common scientific libraries; users can connect an external Python distribution for additional packages. Third-party plugins currently require installation in a Conda or virtual environment, and documentation says a built-in plugin manager is in development for Spyder 6.2. Spyder is available for Linux, macOS, web, and Windows. The project permits use, modification, and redistribution, including commercial use, though Anaconda distribution terms may separately affect some large enterprises.

Visit spyder-ide.github.io