Plugins¶
Meggie's capabilities can be extended through the use of plugins. These plugins are developed by the community and allow you to customize and enhance your experience with new features.
Why Use Plugins?¶
Plugins let you tailor Meggie to your specific research needs. They can provide new analysis options, data handling capabilities, or help optimize your existing workflows.
Finding Plugins¶
Below is a list of available meggie plugins found on PyPi.
| Plugin Name | Version | Last Updated | Author | Description |
|---|---|---|---|---|
| meggie_difference | 0.1.2 | 2024-03-16 | CIBR | Create difference objects |
| meggie_fooof | 0.3.1 | 2024-03-20 | CIBR | Enable spectral parameterization with the FOOOF package. |
| meggie_simpleplugin | 0.2.1 | 2024-03-15 | CIBR | Showcase a simple plugin structure |
| meggie_statistics | 0.3.1 | 2024-03-23 | CIBR | Add permutation tests for spectrums, evokeds and TFR |
Installing Plugins¶
To install a plugin, first activate the Python environment in which Meggie is installed. Then, you can simply use pip to install the plugin of your choice:
$ pip install <plugin_name>
For example, if you wanted to install the "meggie_example" plugin, you would run:
$ pip install meggie_example
Need Help?¶
If you have questions about selecting or installing plugins, the Meggie community is ready to help. We're all part of making Meggie a versatile and user-friendly tool for everyone.