Update the note about non-submodule packages in the docs

Author: asmeurer

Diff for: docs/index.md

@@ -2,9 +2,9 @@
 
 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, 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).
+NumPy, CuPy, PyTorch, Dask, JAX, ndonnx, 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).
 
 Note that some of the functionality in this library is backwards incompatible
 with the corresponding wrapped libraries. The end-goal is to eventually make
@@ -61,10 +61,11 @@ import array_api_compat.dask as da
 ```
 
 ```{note}
-There is no `array_api_compat.jax` submodule. JAX support is contained in JAX
-itself in the `jax.experimental.array_api` module. array-api-compat simply
-wraps that submodule. The main JAX support in this module consists of
-supporting it in the [helper functions](helper-functions).
+There are no `array_api_compat` submodules for JAX, sparse, or ndonnx. These
+support for these libraries is contained in the libraries themselves (JAX
+support is in the `jax.experimental.array_api` module). The
+array-api-compat support for these libraries consists of supporting them in
+the [helper functions](helper-functions).
 ```
 
 Each will include all the functions from the normal NumPy/CuPy/PyTorch/dask.array