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NINJA-IDE vs Spyder

NINJA-IDE

ninja-ide.org

Spyder

spyder-ide.github.io

Side by side

FigureNINJA-IDESpyder
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Web—Yes
WindowsYesYes
macOSYesYes
LinuxYesYes
Plans published11
Spec score · Python IDEs7.8 (#11)7.5 (#15)
SupportThe project lists a mailing list and GitHub issues for questions and bug reports.The project directs users to its troubleshooting guide, GitHub issue tracker, developer documentation and Google Group for help.

Plans

NINJA-IDE

  • NINJA-IDEFree

NINJA-IDE pricing →

Spyder

  • SpyderFree

Spyder pricing →

In their own words

NINJA-IDE

NINJA-IDE is a free integrated development environment for creating applications, with tools for managing Python projects. The editor provides syntax highlighting, code completion, and help with imports and navigation. A code locator gives access to project files, functions, and classes, and documents can highlight static and PEP 8 errors. Users can manage files within the IDE, run a Python project or open file with one click, and render HTML files inside the application. Plugins can extend the editor and integrate functionality. The download page lists v2.4 installers for Windows 10/11 and Linux distributions; its macOS entry says the app is unavailable there and offers source code only. Listed requirements are Python 2.7 and PyQt 4.7 or later. The project describes the software as GPLv3+ and lists a mailing list and GitHub issues for questions and bug reports. The website says it is no longer run by the official authors.

Visit ninja-ide.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