> For the complete documentation index, see [llms.txt](https://docs.ellipsis-drive.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.ellipsis-drive.com/developers/common-integrations/analyze-ellipsis-drive-layers.md).

# Analyze Ellipsis Drive layers

Ellipsis Drive enables cloud-native analysis directly on your spatial data, without requiring data export or duplication.

You can connect directly to your layers from analytical environments and compute workflows.

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#### Native analytics integrations

Ellipsis Drive provides native support for common data science and analytics environments.

* **Python**\
  [The Python package](https://github.com/ellipsis-drive/python-package) allows you to read, write, and query spatial data in native Python workflows.
* **R**\
  [The R package](https://github.com/ellipsis-drive/R-package) enables direct access to spatial layers for analysis in R-based environments.
* **PySpark**\
  [The PySpark integration](https://github.com/ellipsis-drive/pySpark) allows large-scale distributed processing of raster and vector datasets in Spark clusters.

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#### Visualization and dashboarding

Ellipsis Drive data can be directly used in visualization and BI tools.

* [Folium](https://github.com/ellipsis-drive/folium) for lightweight interactive mapping
* [Power BI](https://github.com/ellipsis-drive/ellipsis-drive-powerbi-visual) for enterprise dashboard integration

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#### Model execution

[The ellipsisAI Python library](https://github.com/ellipsis-drive/pythonAI-package) enables you to run models directly on Ellipsis Drive layers.

This supports automated analysis workflows and spatial model execution directly on your data layers.

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