Add sparse to the documentation.

Author: hameerabbasi

README.md

@@ -2,8 +2,8 @@
 
 This is a small wrapper around common array libraries that is compatible with
 the [Array API standard](https://data-apis.org/array-api/latest/). Currently,
-NumPy, CuPy, PyTorch, Dask, and JAX are supported. If you want support for other array
-libraries, or if you encounter any issues, please [open an
+NumPy, CuPy, PyTorch, Dask, JAX and `sparse` are supported. If you want support
+for other array libraries, or if you encounter any issues, please [open an
 issue](https://github.com/data-apis/array-api-compat/issues).
 
 See the documentation for more details https://data-apis.org/array-api-compat/

docs/changelog.md

@@ -4,6 +4,14 @@
 
 ## Major Changes
 
+- Add support for `sparse`. Note that unlike other array libraries,
+  array-api-compat does not contain any wrappers for `sparse` functions. All
+  `sparse` array API support is in `sparse` itself. Thus, there is no
+  `array_api_compat.sparse` submodule, and
+  `array_namespace(<pydata/sparse array>)` returns the `sparse` module.
+
+- Added the function `is_pydata_sparse(x)`.
+
 - Drop support for Python 3.8.
 
 - NumPy 2.0 is now left completely unwrapped.