reorder integrated libraries table

Author: lhoestq

docs/hub/datasets-libraries.md

@@ -16,9 +16,9 @@ The table below summarizes the supported libraries and their level of integratio
 | [FiftyOne](./datasets-fiftyone)     | FiftyOne is a library for curation and visualization of image, video, and 3D data.                                             | ✅                | ✅          |
 | [Pandas](./datasets-pandas)         | Python data analysis toolkit.                                                                                                  | ✅                | ✅          |
 | [Polars](./datasets-polars)         | A DataFrame library on top of an OLAP query engine.                                                                            | ✅                | ✅          |
+| [PyArrow](./datasets-pyarrow)       | Apache Arrow is a columnar format and a toolbox for fast data interchange and in-memory analytics.                             | ✅                | ✅          |
 | [Spark](./datasets-spark)           | Real-time, large-scale data processing tool in a distributed environment.                                                      | ✅                | ✅          |
 | [WebDataset](./datasets-webdataset) | Library to write I/O pipelines for large datasets.                                                                             | ✅                | ❌          |
-| [PyArrow](./datasets-pyarrow)       | Apache Arrow is a columnar format and a toolbox for fast data interchange and in-memory analytics.                             | ✅                | ✅          |
 
 ## Integrating data libraries and tools with the Hub