LiClipse vs Spyder
LiClipse
liclipse.comSpyder
spyder-ide.github.ioSide by side
| Figure | LiClipse | Spyder |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Python IDEs | 8.3 (#5) | 7.5 (#15) |
| Integrations | The maker says LiClipse works with existing Eclipse plugins and can be installed into an existing Eclipse installation. | Spyder documents built-in integration with Matplotlib, NumPy and Pandas, among other scientific Python libraries. |
| Support | The maker directs bug reports and feature requests to LiClipse Tracker, support questions to Stack Overflow, and release discussions to its Google Groups forum. | The project directs users to its troubleshooting guide, GitHub issue tracker, developer documentation and Google Group for help. |
Plans
In their own words
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.