NINJA-IDE vs Spyder
NINJA-IDE
ninja-ide.orgSpyder
spyder-ide.orgSide by side
| Figure | NINJA-IDE | Spyder |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Python IDEs | 7.8 (#11) | 7.4 (#18) |
| Extensibility | Plugins can extend the editor and integrate functionality into the IDE. | Spyder supports third-party plugins, but the documentation recommends Conda-based installation for plugin use while standalone plugin installation is under development. |
| Support | The project lists a mailing list and GitHub issues for questions and bug reports. | The documentation directs users to its FAQ, troubleshooting guide, GitHub issue tracker and Google Group for help. |
Plans
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.
Spyder
Spyder is a free, open-source scientific Python environment for scientists, engineers, and data analysts. Its multi-language editor offers code completion, real-time analysis, syntax highlighting, and split panels. Users can run whole files, selected lines, or code cells in an IPython Console, which includes function calltips, debugger integration, a Variable Explorer, and plots. Standalone installers for Windows, macOS, and Linux include common scientific libraries such as NumPy, SciPy, Pandas, and Matplotlib. Spyder can connect to existing local or remote Python kernels. It supports third-party plugins, though its documentation recommends Conda-based installation for plugin use and says standalone plugin installation is under development. For browser access, Binder provides a functional session without installation; code and data are lost when the tab is closed or left. Spyder's documentation points users to its FAQ, troubleshooting guide, GitHub issue tracker, and Google Group for help, and states that anyone can contribute.