diff --git a/docs/api-reference.md b/docs/api-reference.md
index 279c84c4..e2c115c6 100644
--- a/docs/api-reference.md
+++ b/docs/api-reference.md
@@ -13,6 +13,7 @@
     expand_dims
     kron
     nunique
+    pad
     setdiff1d
     sinc
 ```
diff --git a/docs/index.md b/docs/index.md
index 9470d452..c1998cdd 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -10,7 +10,8 @@ contributors.md
 ```
 
 This is a library housing "array-agnostic" implementations of functions built on
-top of [the Python array API standard](https://data-apis.org/array-api/).
+top of [the Python array API standard](https://data-apis.org/array-api/), as
+well as delegation to existing implementations for known array library backends.
 
 The intended users of this library are "array-consuming" libraries which are
 using [array-api-compat](https://data-apis.org/array-api-compat/) to make their
@@ -23,7 +24,7 @@ It is currently used by:
 
 - [SciPy](https://github.com/scipy/scipy) - Fundamental algorithms for
   scientific computing.
-- ...
+- _your library? Let us know!_
 
 (installation)=
 
@@ -33,6 +34,8 @@ It is currently used by:
 [on PyPI](https://pypi.org/project/array-api-extra/):
 
 ```shell
+uv add array-api-extra
+# or
 python -m pip install array-api-extra
 ```
 
@@ -40,9 +43,9 @@ And
 [on conda-forge](https://prefix.dev/channels/conda-forge/packages/array-api-extra):
 
 ```shell
-mamba install array-api-extra
-# or
 pixi add array-api-extra
+# or
+mamba install array-api-extra
 ```
 
 ```{warning}
@@ -52,7 +55,7 @@ a specific version, or vendor the library inside your own.
 ```
 
 ```{note}
-This library depends on array-api-compat. We aim for compatibility with
+This library depends on `array-api-compat`. We aim for compatibility with
 the latest released version of array-api-compat, and your mileage may vary
 with older or dev versions.
 ```
@@ -69,8 +72,8 @@ and copy it into the appropriate place in your library, like:
 cp -a array-api-extra/src/array_api_extra mylib/vendored/
 ```
 
-`array-api-extra` depends on `array-api-compat`. You may either add a dependency
-in your own project to `array-api-compat` or vendor it too:
+You may either add a dependency to array-api-compat in your own project, or
+vendor it too:
 
 1. Clone
    [the array-api-compat repository](https://github.com/data-apis/array-api-compat)
@@ -81,14 +84,14 @@ in your own project to `array-api-compat` or vendor it too:
    ```
 
 2. Create a new hook file which array-api-extra will use instead of the
-   top-level `array-api-compat` if present:
+   top-level array-api-compat if present:
 
    ```
    echo 'from mylib.vendored.array_api_compat import *' > mylib/vendored/_array_api_compat_vendor.py
    ```
 
-This also allows overriding `array-api-compat` functions if you so wish. E.g.
-your `mylib/vendored/_array_api_compat_vendor.py` could look like this:
+This also allows overriding array-api-compat functions if you so wish. E.g. your
+`mylib/vendored/_array_api_compat_vendor.py` could look like this:
 
 ```python
 from mylib.vendored.array_api_compat import *
@@ -104,6 +107,13 @@ def array_namespace(*xs, **kwargs):
         return _array_namespace_orig(*xs, **kwargs)
 ```
 
+```{tip}
+See [an example of this in SciPy][scipy-vendor-example].
+```
+
+[scipy-vendor-example]:
+https://github.com/scipy/scipy/blob/main/scipy/_lib/_array_api_compat_vendor.py
+
 (usage)=
 
 ## Usage
@@ -115,9 +125,9 @@ import array_api_extra as xpx
 
 ...
 xp = array_namespace(x)
-y = xp.sum(x)
+y = xp.sum(x)  # use functions from `xp` as normal
 ...
-return xpx.atleast_nd(y, ndim=2, xp=xp)
+return xpx.atleast_nd(y, ndim=2, xp=xp)  # use functions from `xpx`, passing `xp=xp`
 ```
 
 ```{note}
@@ -131,13 +141,13 @@ is called internally to determine the namespace.
 ```
 
 In the examples shown in the docstrings of functions from this library,
-[`array-api-strict`](https://data-apis.org/array-api-strict/) is used as the
-array namespace `xp`. In reality, code using this library will be written to
-work with any compatible array namespace as `xp`, not any particular
-implementation.
+[array-api-strict](https://data-apis.org/array-api-strict/) is used as the array
+namespace `xp`. In reality, code using this library will be written to work with
+any compatible array namespace as `xp`, not any particular implementation.
 
-Some functions may only work with array libraries supported by array-api-compat.
-This will be clearly indicated in the docs.
+Some functions may only work with specific array libraries supported by
+array-api-compat. This should be clearly indicated in the docs - please open an
+issue if this is not the case!
 
 (scope)=
 
@@ -151,13 +161,17 @@ Functions that are in-scope for this library will:
   libraries.
 - Be implemented with type annotations and
   [numpydoc-style docstrings](https://numpydoc.readthedocs.io/en/latest/format.html).
-- Be tested against `array-api-strict`.
+- Be tested against array-api-strict and various existing backends.
 
 Functions are implemented purely in terms of the array API standard where
 possible. Where functions must use library-specific helpers for libraries
 supported by array-api-compat, this will be clearly marked in their API
 reference page.
 
+Delegation is added for some functions to use native implementations for the
+given array type, instead of the array-agnostic implementations, as this may
+increase performance.
+
 In particular, the following kinds of function are also in-scope:
 
 - Functions which implement
@@ -168,15 +182,12 @@ In particular, the following kinds of function are also in-scope:
 
 The following features are currently out-of-scope for this library:
 
-- Delegation to known, existing array libraries (unless necessary).
-  - It is quite simple to wrap functions in this library to also use existing
-    implementations. Such delegation will not live in this library for now, but
-    the array-agnostic functions in this library could form an array-agnostic
-    backend for such delegating functions in the future, here or elsewhere.
 - Functions which accept "array-like" input, or standard-incompatible
   namespaces.
   - It is possible to prepare input arrays and a standard-compatible namespace
-    via `array-api-compat` downstream in consumer libraries.
+    via array-api-compat downstream in consumer libraries. The `xp` argument can
+    also be omitted to infer the standard-compatible namespace using
+    `array_namespace` internally.
 - Functions which are specific to a particular domain.
   - These functions may belong better in an array-consuming library which is
     specific to that domain.
diff --git a/pixi.lock b/pixi.lock
index ed262f2f..153a692b 100644
--- a/pixi.lock
+++ b/pixi.lock
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       - conda: https://prefix.dev/conda-forge/noarch/array-api-strict-2.2-pyhd8ed1ab_1.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/aws-c-auth-0.8.0-hb921021_15.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/aws-c-auth-0.8.0-h205f482_16.conda
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-      - conda: https://prefix.dev/conda-forge/linux-64/aws-sdk-cpp-1.11.458-hc430e4a_4.conda
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+      - conda: https://prefix.dev/conda-forge/linux-64/aws-sdk-cpp-1.11.458-h7001638_5.conda
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-      - conda: https://prefix.dev/conda-forge/linux-64/libcblas-3.9.0-26_linux64_openblas.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libcblas-3.9.0-26_linux64_mkl.conda
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-      - conda: https://prefix.dev/conda-forge/linux-64/liblapack-3.9.0-26_linux64_openblas.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/liblapack-3.9.0-26_linux64_mkl.conda
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-      - conda: https://prefix.dev/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libparquet-18.1.0-h081d1f1_8_cpu.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libpng-1.6.45-h943b412_0.conda
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-      - conda: https://prefix.dev/conda-forge/linux-64/libtorch-2.5.1-cpu_mkl_he8ec5d7_108.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/libtorch-2.5.1-cpu_mkl_ha4c6a95_109.conda
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-      - conda: https://prefix.dev/conda-forge/linux-64/ml_dtypes-0.5.0-py310h5eaa309_0.conda
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-      - conda: https://prefix.dev/conda-forge/linux-64/ncurses-6.5-he02047a_1.conda
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   - libcblas >=3.9.0,<4.0a0
   - libgcc >=13
   - libprotobuf >=5.28.3,<5.28.4.0a0
@@ -8865,11 +8920,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/torch?source=hash-mapping
-  size: 34307765
-  timestamp: 1736090964088
-- conda: https://prefix.dev/conda-forge/osx-arm64/pytorch-2.5.1-cpu_generic_py310_h3256795_8.conda
-  sha256: 2f548d400e5014028b89339889768093730e0cf2e3e5d7c7ece9eddde646a0a2
-  md5: 16985e88a59d007aa4d0a8b13f820e7c
+  size: 34033082
+  timestamp: 1736831182336
+- conda: https://prefix.dev/conda-forge/osx-arm64/pytorch-2.5.1-cpu_generic_py310_h3256795_9.conda
+  sha256: c2f85319da078b86e81523b6a92c5761342123ed5b7bf8828082e34eab59cbc4
+  md5: 5472d797227aa217036da7ec899358c5
   depends:
   - __osx >=11.0
   - filelock
@@ -8895,14 +8950,14 @@ packages:
   - sympy >=1.13.1,!=1.13.2
   - typing_extensions
   constrains:
-  - pytorch-gpu ==99999999
   - pytorch-cpu ==2.5.1
+  - pytorch-gpu ==99999999
   license: BSD-3-Clause
   license_family: BSD
   purls:
   - pkg:pypi/torch?source=hash-mapping
-  size: 22573321
-  timestamp: 1736094550662
+  size: 22861302
+  timestamp: 1736897435420
 - conda: https://prefix.dev/conda-forge/noarch/pytz-2024.1-pyhd8ed1ab_0.conda
   sha256: 1a7d6b233f7e6e3bbcbad054c8fd51e690a67b129a899a056a5e45dd9f00cb41
   md5: 3eeeeb9e4827ace8c0c1419c85d590ad
@@ -9097,9 +9152,9 @@ packages:
   purls: []
   size: 355142
   timestamp: 1734415467047
-- conda: https://prefix.dev/conda-forge/linux-64/scipy-1.15.0-py310hfa6ec8c_0.conda
-  sha256: 6d3a2e3a942f8a2b383c9a94a0a06c34b75511adbe93158c20427b659d0cafae
-  md5: 5af85973838c580ab7f4f72008c8b237
+- conda: https://prefix.dev/conda-forge/linux-64/scipy-1.15.1-py310hfa6ec8c_0.conda
+  sha256: 9941f3bc9af712e60ce7b3910f9da0298f6b6f4c0b4fbc85f43b3db6342e21e4
+  md5: a24baa04ee53ee3078ac1856887c3dea
   depends:
   - __glibc >=2.17,<3.0.a0
   - libblas >=3.9.0,<4.0a0
@@ -9109,7 +9164,7 @@ packages:
   - libgfortran5 >=13.3.0
   - liblapack >=3.9.0,<4.0a0
   - libstdcxx >=13
-  - numpy <2.3
+  - numpy <2.5
   - numpy >=1.19,<3
   - numpy >=1.23.5
   - python >=3.10,<3.11.0a0
@@ -9118,11 +9173,11 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 18405029
-  timestamp: 1736010557840
-- conda: https://prefix.dev/conda-forge/osx-arm64/scipy-1.15.0-py310hd50a768_0.conda
-  sha256: 3a5f5a1f3a9b8c9e0fec02821638c8958de4a579f8637d5a66eeff682deb246d
-  md5: b1c91b7bfece72a5bf5f03dc0b7a3055
+  size: 18436262
+  timestamp: 1736618466062
+- conda: https://prefix.dev/conda-forge/osx-arm64/scipy-1.15.1-py310hd50a768_0.conda
+  sha256: 387cacd510792d7c7cf86b46374f2885b06f3b9505067cf9d9742a7034aa79bf
+  md5: 8e181e12d183fd4e44fc2f941cfe8f47
   depends:
   - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
@@ -9131,7 +9186,7 @@ packages:
   - libgfortran 5.*
   - libgfortran5 >=13.2.0
   - liblapack >=3.9.0,<4.0a0
-  - numpy <2.3
+  - numpy <2.5
   - numpy >=1.19,<3
   - numpy >=1.23.5
   - python >=3.10,<3.11.0a0
@@ -9141,16 +9196,16 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 15057534
-  timestamp: 1736010232496
-- conda: https://prefix.dev/conda-forge/win-64/scipy-1.15.0-py310h164493e_0.conda
-  sha256: c06c0722006125176005e77a9d739d19eb4003c315b0092fc5358a9005f6abb7
-  md5: eb011c11b5f60006cab90584b3a7053d
+  size: 14530851
+  timestamp: 1736618488135
+- conda: https://prefix.dev/conda-forge/win-64/scipy-1.15.1-py310h164493e_0.conda
+  sha256: 3b2342ce7edd3b8391cf321da8cb2bc50ac7dca36b3444b91f82688f9d0671dc
+  md5: 2b18926b32f740cb76d7cdaf983c1e6f
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
   - liblapack >=3.9.0,<4.0a0
-  - numpy <2.3
+  - numpy <2.5
   - numpy >=1.19,<3
   - numpy >=1.23.5
   - python >=3.10,<3.11.0a0
@@ -9162,19 +9217,19 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/scipy?source=hash-mapping
-  size: 17162281
-  timestamp: 1736011322833
-- conda: https://prefix.dev/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda
-  sha256: abb12e1dd515b13660aacb5d0fd43835bc2186cab472df25b7716cd65e095111
-  md5: fc80f7995e396cbaeabd23cf46c413dc
+  size: 16956039
+  timestamp: 1736619650525
+- conda: https://prefix.dev/conda-forge/noarch/setuptools-75.8.0-pyhff2d567_0.conda
+  sha256: e0778e4f276e9a81b51c56f51ec22a27b4d8fc955abc0be77ad09ca9bea06bb9
+  md5: 8f28e299c11afdd79e0ec1e279dcdc52
   depends:
   - python >=3.9
   license: MIT
   license_family: MIT
   purls:
   - pkg:pypi/setuptools?source=hash-mapping
-  size: 774252
-  timestamp: 1732632769210
+  size: 775598
+  timestamp: 1736512753595
 - conda: https://prefix.dev/conda-forge/noarch/six-1.17.0-pyhd8ed1ab_0.conda
   sha256: 41db0180680cc67c3fa76544ffd48d6a5679d96f4b71d7498a759e94edc9a2db
   md5: a451d576819089b0d672f18768be0f65
diff --git a/pyproject.toml b/pyproject.toml
index a5594541..fee54b1a 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -177,7 +177,11 @@ tests-backends = ["py310", "tests", "backends", "cuda-backends"]
 minversion = "6.0"
 addopts = ["-ra", "--showlocals", "--strict-markers", "--strict-config"]
 xfail_strict = true
-filterwarnings = ["error"]
+filterwarnings = [
+    "error",
+    # TODO: when Python 3.10 is dropped, use `enum.member` in `_delegation.py`
+    "ignore:functools.partial will be a method descriptor:FutureWarning",
+]
 log_cli_level = "INFO"
 testpaths = ["tests"]
 markers = ["skip_xp_backend(library, *, reason=None): Skip test for a specific backend"]
diff --git a/src/array_api_extra/__init__.py b/src/array_api_extra/__init__.py
index 3f973307..57d728ef 100644
--- a/src/array_api_extra/__init__.py
+++ b/src/array_api_extra/__init__.py
@@ -1,6 +1,7 @@
 """Extra array functions built on top of the array API standard."""
 
-from ._funcs import (
+from ._delegation import pad
+from ._lib._funcs import (
     at,
     atleast_nd,
     cov,
@@ -8,7 +9,6 @@
     expand_dims,
     kron,
     nunique,
-    pad,
     setdiff1d,
     sinc,
 )
diff --git a/src/array_api_extra/_delegation.py b/src/array_api_extra/_delegation.py
new file mode 100644
index 00000000..4a1740e6
--- /dev/null
+++ b/src/array_api_extra/_delegation.py
@@ -0,0 +1,83 @@
+"""Delegation to existing implementations for Public API Functions."""
+
+from types import ModuleType
+from typing import Literal
+
+from ._lib import Backend, _funcs
+from ._lib._utils._compat import array_namespace
+from ._lib._utils._typing import Array
+
+__all__ = ["pad"]
+
+
+def _delegate(xp: ModuleType, *backends: Backend) -> bool:
+    """
+    Check whether `xp` is one of the `backends` to delegate to.
+
+    Parameters
+    ----------
+    xp : array_namespace
+        Array namespace to check.
+    *backends : IsNamespace
+        Arbitrarily many backends (from the ``IsNamespace`` enum) to check.
+
+    Returns
+    -------
+    bool
+        ``True`` if `xp` matches one of the `backends`, ``False`` otherwise.
+    """
+    return any(backend.is_namespace(xp) for backend in backends)
+
+
+def pad(
+    x: Array,
+    pad_width: int | tuple[int, int] | list[tuple[int, int]],
+    mode: Literal["constant"] = "constant",
+    *,
+    constant_values: bool | int | float | complex = 0,
+    xp: ModuleType | None = None,
+) -> Array:
+    """
+    Pad the input array.
+
+    Parameters
+    ----------
+    x : array
+        Input array.
+    pad_width : int or tuple of ints or list of pairs of ints
+        Pad the input array with this many elements from each side.
+        If a list of tuples, ``[(before_0, after_0), ... (before_N, after_N)]``,
+        each pair applies to the corresponding axis of ``x``.
+        A single tuple, ``(before, after)``, is equivalent to a list of ``x.ndim``
+        copies of this tuple.
+    mode : str, optional
+        Only "constant" mode is currently supported, which pads with
+        the value passed to `constant_values`.
+    constant_values : python scalar, optional
+        Use this value to pad the input. Default is zero.
+    xp : array_namespace, optional
+        The standard-compatible namespace for `x`. Default: infer.
+
+    Returns
+    -------
+    array
+        The input array,
+        padded with ``pad_width`` elements equal to ``constant_values``.
+    """
+    xp = array_namespace(x) if xp is None else xp
+
+    if mode != "constant":
+        msg = "Only `'constant'` mode is currently supported"
+        raise NotImplementedError(msg)
+
+    # https://github.com/pytorch/pytorch/blob/cf76c05b4dc629ac989d1fb8e789d4fac04a095a/torch/_numpy/_funcs_impl.py#L2045-L2056
+    if _delegate(xp, Backend.TORCH):
+        pad_width = xp.asarray(pad_width)
+        pad_width = xp.broadcast_to(pad_width, (x.ndim, 2))
+        pad_width = xp.flip(pad_width, axis=(0,)).flatten()
+        return xp.nn.functional.pad(x, tuple(pad_width), value=constant_values)  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
+
+    if _delegate(xp, Backend.NUMPY, Backend.JAX_NUMPY, Backend.CUPY):
+        return xp.pad(x, pad_width, mode, constant_values=constant_values)
+
+    return _funcs.pad(x, pad_width, constant_values=constant_values, xp=xp)
diff --git a/src/array_api_extra/_lib/__init__.py b/src/array_api_extra/_lib/__init__.py
index d7a79525..b83d7e8c 100644
--- a/src/array_api_extra/_lib/__init__.py
+++ b/src/array_api_extra/_lib/__init__.py
@@ -1 +1,5 @@
-"""Modules housing private functions."""
+"""Internals of array-api-extra."""
+
+from ._backends import Backend
+
+__all__ = ["Backend"]
diff --git a/src/array_api_extra/_lib/_backends.py b/src/array_api_extra/_lib/_backends.py
new file mode 100644
index 00000000..93c43272
--- /dev/null
+++ b/src/array_api_extra/_lib/_backends.py
@@ -0,0 +1,59 @@
+"""Backends with which array-api-extra interacts in delegation and testing."""
+
+from collections.abc import Callable
+from enum import Enum
+from types import ModuleType
+from typing import cast
+
+from ._utils import _compat
+
+__all__ = ["Backend"]
+
+
+class Backend(Enum):  # numpydoc ignore=PR01,PR02  # type: ignore[no-subclass-any]
+    """
+    All array library backends explicitly tested by array-api-extra.
+
+    Parameters
+    ----------
+    value : str
+        String describing the backend.
+    is_namespace : Callable[[ModuleType], bool]
+        Function to check whether an input module is the array namespace
+        corresponding to the backend.
+    module_name : str
+        Name of the backend's module.
+    """
+
+    ARRAY_API_STRICT = (
+        "array_api_strict",
+        _compat.is_array_api_strict_namespace,
+        "array_api_strict",
+    )
+    NUMPY = "numpy", _compat.is_numpy_namespace, "numpy"
+    NUMPY_READONLY = "numpy_readonly", _compat.is_numpy_namespace, "numpy"
+    CUPY = "cupy", _compat.is_cupy_namespace, "cupy"
+    TORCH = "torch", _compat.is_torch_namespace, "torch"
+    DASK_ARRAY = "dask.array", _compat.is_dask_namespace, "dask.array"
+    SPARSE = "sparse", _compat.is_pydata_sparse_namespace, "sparse"
+    JAX_NUMPY = "jax.numpy", _compat.is_jax_namespace, "jax.numpy"
+
+    def __new__(
+        cls, value: str, _is_namespace: Callable[[ModuleType], bool], _module_name: str
+    ):  # numpydoc ignore=GL08
+        obj = object.__new__(cls)
+        obj._value_ = value
+        return obj
+
+    def __init__(
+        self,
+        value: str,  # noqa: ARG002  # pylint: disable=unused-argument
+        is_namespace: Callable[[ModuleType], bool],
+        module_name: str,
+    ):  # numpydoc ignore=GL08
+        self.is_namespace = is_namespace
+        self.module_name = module_name
+
+    def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]  # numpydoc ignore=RT01
+        """Pretty-print parameterized test names."""
+        return cast(str, self.value)
diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_lib/_funcs.py
similarity index 95%
rename from src/array_api_extra/_funcs.py
rename to src/array_api_extra/_lib/_funcs.py
index 017c7297..320e5455 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_lib/_funcs.py
@@ -1,4 +1,4 @@
-"""Public API Functions."""
+"""Array-agnostic implementations for the public API."""
 
 # https://github.com/scikit-learn/scikit-learn/pull/27910#issuecomment-2568023972
 from __future__ import annotations
@@ -11,13 +11,9 @@
 from types import ModuleType
 from typing import ClassVar, cast
 
-from ._lib import _compat, _utils
-from ._lib._compat import (
-    array_namespace,
-    is_jax_array,
-    is_writeable_array,
-)
-from ._lib._typing import Array, Index
+from ._utils import _compat, _helpers
+from ._utils._compat import array_namespace, is_jax_array, is_writeable_array
+from ._utils._typing import Array, Index
 
 __all__ = [
     "at",
@@ -151,7 +147,7 @@ def cov(m: Array, /, *, xp: ModuleType | None = None) -> Array:
     m = atleast_nd(m, ndim=2, xp=xp)
     m = xp.astype(m, dtype)
 
-    avg = _utils.mean(m, axis=1, xp=xp)
+    avg = _helpers.mean(m, axis=1, xp=xp)
     fact = m.shape[1] - 1
 
     if fact <= 0:
@@ -467,7 +463,7 @@ def setdiff1d(
     else:
         x1 = xp.unique_values(x1)
         x2 = xp.unique_values(x2)
-    return x1[_utils.in1d(x1, x2, assume_unique=True, invert=True, xp=xp)]
+    return x1[_helpers.in1d(x1, x2, assume_unique=True, invert=True, xp=xp)]
 
 
 def sinc(x: Array, /, *, xp: ModuleType | None = None) -> Array:
@@ -562,44 +558,11 @@ def sinc(x: Array, /, *, xp: ModuleType | None = None) -> Array:
 def pad(
     x: Array,
     pad_width: int | tuple[int, int] | list[tuple[int, int]],
-    mode: str = "constant",
     *,
-    xp: ModuleType | None = None,
     constant_values: bool | int | float | complex = 0,
-) -> Array:
-    """
-    Pad the input array.
-
-    Parameters
-    ----------
-    x : array
-        Input array.
-    pad_width : int or tuple of ints or list of pairs of ints
-        Pad the input array with this many elements from each side.
-        If a list of tuples, ``[(before_0, after_0), ... (before_N, after_N)]``,
-        each pair applies to the corresponding axis of ``x``.
-        A single tuple, ``(before, after)``, is equivalent to a list of ``x.ndim``
-        copies of this tuple.
-    mode : str, optional
-        Only "constant" mode is currently supported, which pads with
-        the value passed to `constant_values`.
-    xp : array_namespace, optional
-        The standard-compatible namespace for `x`. Default: infer.
-    constant_values : python scalar, optional
-        Use this value to pad the input. Default is zero.
-
-    Returns
-    -------
-    array
-        The input array,
-        padded with ``pad_width`` elements equal to ``constant_values``.
-    """
-    if mode != "constant":
-        msg = "Only `'constant'` mode is currently supported"
-        raise NotImplementedError(msg)
-
-    value = constant_values
-
+    xp: ModuleType,
+) -> Array:  # numpydoc ignore=PR01,RT01
+    """See docstring in `array_api_extra._delegation.py`."""
     # make pad_width a list of length-2 tuples of ints
     x_ndim = cast(int, x.ndim)
     if isinstance(pad_width, int):
@@ -607,9 +570,6 @@ def pad(
     if isinstance(pad_width, tuple):
         pad_width = [pad_width] * x_ndim
 
-    if xp is None:
-        xp = array_namespace(x)
-
     # https://github.com/python/typeshed/issues/13376
     slices: list[slice] = []  # type: ignore[no-any-explicit]
     newshape: list[int] = []
@@ -633,7 +593,7 @@ def pad(
 
     padded = xp.full(
         tuple(newshape),
-        fill_value=value,
+        fill_value=constant_values,
         dtype=x.dtype,
         device=_compat.device(x),
     )
diff --git a/src/array_api_extra/_lib/_testing.py b/src/array_api_extra/_lib/_testing.py
index b866012f..b6993a16 100644
--- a/src/array_api_extra/_lib/_testing.py
+++ b/src/array_api_extra/_lib/_testing.py
@@ -4,13 +4,15 @@
 Note that this is private API; don't expect it to be stable.
 """
 
-from ._compat import (
+from types import ModuleType
+
+from ._utils._compat import (
     array_namespace,
     is_cupy_namespace,
     is_pydata_sparse_namespace,
     is_torch_namespace,
 )
-from ._typing import Array, ModuleType
+from ._utils._typing import Array
 
 __all__ = ["xp_assert_close", "xp_assert_equal"]
 
diff --git a/src/array_api_extra/_lib/_utils/__init__.py b/src/array_api_extra/_lib/_utils/__init__.py
new file mode 100644
index 00000000..3628c45f
--- /dev/null
+++ b/src/array_api_extra/_lib/_utils/__init__.py
@@ -0,0 +1 @@
+"""Modules housing private utility functions."""
diff --git a/src/array_api_extra/_lib/_compat.py b/src/array_api_extra/_lib/_utils/_compat.py
similarity index 71%
rename from src/array_api_extra/_lib/_compat.py
rename to src/array_api_extra/_lib/_utils/_compat.py
index 7d843f19..d7f7e83a 100644
--- a/src/array_api_extra/_lib/_compat.py
+++ b/src/array_api_extra/_lib/_utils/_compat.py
@@ -3,12 +3,15 @@
 # `array-api-compat` to override the import location
 
 try:
-    from ..._array_api_compat_vendor import (  # pyright: ignore[reportMissingImports]
+    from ...._array_api_compat_vendor import (  # pyright: ignore[reportMissingImports]
         array_namespace,
         device,
+        is_array_api_strict_namespace,
         is_cupy_namespace,
+        is_dask_namespace,
         is_jax_array,
         is_jax_namespace,
+        is_numpy_namespace,
         is_pydata_sparse_namespace,
         is_torch_namespace,
         is_writeable_array,
@@ -18,9 +21,12 @@
     from array_api_compat import (  # pyright: ignore[reportMissingTypeStubs]
         array_namespace,
         device,
+        is_array_api_strict_namespace,
         is_cupy_namespace,
+        is_dask_namespace,
         is_jax_array,
         is_jax_namespace,
+        is_numpy_namespace,
         is_pydata_sparse_namespace,
         is_torch_namespace,
         is_writeable_array,
@@ -30,9 +36,12 @@
 __all__ = [
     "array_namespace",
     "device",
+    "is_array_api_strict_namespace",
     "is_cupy_namespace",
+    "is_dask_namespace",
     "is_jax_array",
     "is_jax_namespace",
+    "is_numpy_namespace",
     "is_pydata_sparse_namespace",
     "is_torch_namespace",
     "is_writeable_array",
diff --git a/src/array_api_extra/_lib/_compat.pyi b/src/array_api_extra/_lib/_utils/_compat.pyi
similarity index 62%
rename from src/array_api_extra/_lib/_compat.pyi
rename to src/array_api_extra/_lib/_utils/_compat.pyi
index 8532584c..6086dcfe 100644
--- a/src/array_api_extra/_lib/_compat.pyi
+++ b/src/array_api_extra/_lib/_utils/_compat.pyi
@@ -18,10 +18,13 @@ def array_namespace(
     use_compat: bool | None = None,
 ) -> ArrayModule: ...
 def device(x: Array, /) -> Device: ...
-def is_cupy_namespace(x: object, /) -> bool: ...
+def is_array_api_strict_namespace(xp: ModuleType, /) -> bool: ...
+def is_cupy_namespace(xp: ModuleType, /) -> bool: ...
+def is_dask_namespace(xp: ModuleType, /) -> bool: ...
+def is_jax_namespace(xp: ModuleType, /) -> bool: ...
+def is_numpy_namespace(xp: ModuleType, /) -> bool: ...
+def is_torch_namespace(xp: ModuleType, /) -> bool: ...
 def is_jax_array(x: object, /) -> bool: ...
-def is_jax_namespace(x: object, /) -> bool: ...
-def is_pydata_sparse_namespace(x: object, /) -> bool: ...
-def is_torch_namespace(x: object, /) -> bool: ...
+def is_pydata_sparse_namespace(xp: ModuleType, /) -> bool: ...
 def is_writeable_array(x: object, /) -> bool: ...
 def size(x: Array, /) -> int | None: ...
diff --git a/src/array_api_extra/_lib/_utils.py b/src/array_api_extra/_lib/_utils/_helpers.py
similarity index 96%
rename from src/array_api_extra/_lib/_utils.py
rename to src/array_api_extra/_lib/_utils/_helpers.py
index afb4cfc4..84efcc35 100644
--- a/src/array_api_extra/_lib/_utils.py
+++ b/src/array_api_extra/_lib/_utils/_helpers.py
@@ -1,10 +1,12 @@
-"""Utility functions used by `array_api_extra/_funcs.py`."""
+"""Helper functions used by `array_api_extra/_funcs.py`."""
 
 # https://github.com/scikit-learn/scikit-learn/pull/27910#issuecomment-2568023972
 from __future__ import annotations
 
+from types import ModuleType
+
 from . import _compat
-from ._typing import Array, ModuleType
+from ._typing import Array
 
 __all__ = ["in1d", "mean"]
 
diff --git a/src/array_api_extra/_lib/_typing.py b/src/array_api_extra/_lib/_utils/_typing.py
similarity index 75%
rename from src/array_api_extra/_lib/_typing.py
rename to src/array_api_extra/_lib/_utils/_typing.py
index c612020f..83b51d04 100644
--- a/src/array_api_extra/_lib/_typing.py
+++ b/src/array_api_extra/_lib/_utils/_typing.py
@@ -1,6 +1,5 @@
 """Static typing helpers."""
 
-from types import ModuleType
 from typing import Any
 
 # To be changed to a Protocol later (see data-apis/array-api#589)
@@ -8,4 +7,4 @@
 Device = Any  # type: ignore[no-any-explicit]
 Index = Any  # type: ignore[no-any-explicit]
 
-__all__ = ["Array", "Device", "Index", "ModuleType"]
+__all__ = ["Array", "Device", "Index"]
diff --git a/tests/conftest.py b/tests/conftest.py
index 0bf3114f..4b07c205 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,47 +1,31 @@
 """Pytest fixtures."""
 
-from enum import Enum
+from types import ModuleType
 from typing import cast
 
 import pytest
 
-from array_api_extra._lib._compat import array_namespace
-from array_api_extra._lib._compat import device as get_device
-from array_api_extra._lib._typing import Device, ModuleType
+from array_api_extra._lib import Backend
+from array_api_extra._lib._utils._compat import array_namespace
+from array_api_extra._lib._utils._compat import device as get_device
+from array_api_extra._lib._utils._typing import Device
 
 
-class Library(Enum):
-    """All array libraries explicitly tested by array-api-extra."""
-
-    ARRAY_API_STRICT = "array_api_strict"
-    NUMPY = "numpy"
-    NUMPY_READONLY = "numpy_readonly"
-    CUPY = "cupy"
-    TORCH = "torch"
-    DASK_ARRAY = "dask.array"
-    SPARSE = "sparse"
-    JAX_NUMPY = "jax.numpy"
-
-    def __str__(self) -> str:  # type: ignore[explicit-override]  # pyright: ignore[reportImplicitOverride]  # numpydoc ignore=RT01
-        """Pretty-print parameterized test names."""
-        return self.value
-
-
-@pytest.fixture(params=tuple(Library))
-def library(request: pytest.FixtureRequest) -> Library:  # numpydoc ignore=PR01,RT03
+@pytest.fixture(params=tuple(Backend))
+def library(request: pytest.FixtureRequest) -> Backend:  # numpydoc ignore=PR01,RT03
     """
     Parameterized fixture that iterates on all libraries.
 
     Returns
     -------
-    The current Library enum.
+    The current Backend enum.
     """
-    elem = cast(Library, request.param)
+    elem = cast(Backend, request.param)
 
     for marker in request.node.iter_markers("skip_xp_backend"):
         skip_library = marker.kwargs.get("library") or marker.args[0]  # type: ignore[no-untyped-usage]
-        if not isinstance(skip_library, Library):
-            msg = "argument of skip_xp_backend must be a Library enum"
+        if not isinstance(skip_library, Backend):
+            msg = "argument of skip_xp_backend must be a Backend enum"
             raise TypeError(msg)
         if skip_library == elem:
             reason = cast(str, marker.kwargs.get("reason", "skip_xp_backend"))
@@ -51,7 +35,7 @@ def library(request: pytest.FixtureRequest) -> Library:  # numpydoc ignore=PR01,
 
 
 @pytest.fixture
-def xp(library: Library) -> ModuleType:  # numpydoc ignore=PR01,RT03
+def xp(library: Backend) -> ModuleType:  # numpydoc ignore=PR01,RT03
     """
     Parameterized fixture that iterates on all libraries.
 
@@ -59,9 +43,8 @@ def xp(library: Library) -> ModuleType:  # numpydoc ignore=PR01,RT03
     -------
     The current array namespace.
     """
-    name = "numpy" if library == Library.NUMPY_READONLY else library.value
-    xp = pytest.importorskip(name)
-    if library == Library.JAX_NUMPY:
+    xp = pytest.importorskip(library.module_name)
+    if library == Backend.JAX_NUMPY:
         import jax  # type: ignore[import-not-found]  # pyright: ignore[reportMissingImports]
 
         jax.config.update("jax_enable_x64", True)
@@ -72,14 +55,14 @@ def xp(library: Library) -> ModuleType:  # numpydoc ignore=PR01,RT03
 
 @pytest.fixture
 def device(
-    library: Library, xp: ModuleType
+    library: Backend, xp: ModuleType
 ) -> Device:  # numpydoc ignore=PR01,RT01,RT03
     """
     Return a valid device for the backend.
 
     Where possible, return a device that is not the default one.
     """
-    if library == Library.ARRAY_API_STRICT:
+    if library == Backend.ARRAY_API_STRICT:
         d = xp.Device("device1")
         assert get_device(xp.empty(0)) != d
         return d
diff --git a/tests/test_at.py b/tests/test_at.py
index ed56f615..e9159712 100644
--- a/tests/test_at.py
+++ b/tests/test_at.py
@@ -1,5 +1,6 @@
 from collections.abc import Callable, Generator
 from contextlib import contextmanager
+from types import ModuleType
 from typing import cast
 
 import numpy as np
@@ -11,17 +12,16 @@
 )
 
 from array_api_extra import at
-from array_api_extra._funcs import _AtOp
+from array_api_extra._lib import Backend
+from array_api_extra._lib._funcs import _AtOp
 from array_api_extra._lib._testing import xp_assert_equal
-from array_api_extra._lib._typing import Array, ModuleType
-
-from .conftest import Library
+from array_api_extra._lib._utils._typing import Array
 
 
 @pytest.fixture
-def array(library: Library, xp: ModuleType) -> Array:
+def array(library: Backend, xp: ModuleType) -> Array:
     x = xp.asarray([10.0, 20.0, 30.0])
-    if library == Library.NUMPY_READONLY:
+    if library == Backend.NUMPY_READONLY:
         x.flags.writeable = False
     return x
 
diff --git a/tests/test_funcs.py b/tests/test_funcs.py
index 201295da..5be4a9ad 100644
--- a/tests/test_funcs.py
+++ b/tests/test_funcs.py
@@ -1,5 +1,6 @@
 import contextlib
 import warnings
+from types import ModuleType
 
 import numpy as np
 import pytest
@@ -16,16 +17,15 @@
     setdiff1d,
     sinc,
 )
-from array_api_extra._lib._compat import device as get_device
+from array_api_extra._lib import Backend
 from array_api_extra._lib._testing import xp_assert_close, xp_assert_equal
-from array_api_extra._lib._typing import Array, Device, ModuleType
-
-from .conftest import Library
+from array_api_extra._lib._utils._compat import device as get_device
+from array_api_extra._lib._utils._typing import Array, Device
 
 # mypy: disable-error-code=no-untyped-usage
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no expand_dims")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no expand_dims")
 class TestAtLeastND:
     def test_0D(self, xp: ModuleType):
         x = xp.asarray(1.0)
@@ -97,7 +97,7 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(y, x)
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
 class TestCov:
     def test_basic(self, xp: ModuleType):
         xp_assert_close(
@@ -143,7 +143,7 @@ def test_xp(self, xp: ModuleType):
         )
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device")
 class TestCreateDiagonal:
     def test_1d(self, xp: ModuleType):
         # from np.diag tests
@@ -189,10 +189,10 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(y, xp.asarray([[1, 0], [0, 2]]))
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no sparse.expand_dims")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no sparse.expand_dims")
 class TestExpandDims:
-    @pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="tuple index out of range")
-    @pytest.mark.skip_xp_backend(Library.TORCH, reason="tuple index out of range")
+    @pytest.mark.skip_xp_backend(Backend.DASK_ARRAY, reason="tuple index out of range")
+    @pytest.mark.skip_xp_backend(Backend.TORCH, reason="tuple index out of range")
     def test_functionality(self, xp: ModuleType):
         def _squeeze_all(b: Array) -> Array:
             """Mimics `np.squeeze(b)`. `xpx.squeeze`?"""
@@ -250,7 +250,7 @@ def test_xp(self, xp: ModuleType):
         assert y.shape == (1, 1, 1, 3)
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no sparse.expand_dims")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no sparse.expand_dims")
 class TestKron:
     def test_basic(self, xp: ModuleType):
         # Using 0-dimensional array
@@ -329,11 +329,11 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(kron(a, b, xp=xp), k)
 
 
-@pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="no argsort")
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
+@pytest.mark.skip_xp_backend(Backend.DASK_ARRAY, reason="no argsort")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device")
 class TestSetDiff1D:
     @pytest.mark.skip_xp_backend(
-        Library.TORCH, reason="index_select not implemented for uint32"
+        Backend.TORCH, reason="index_select not implemented for uint32"
     )
     def test_setdiff1d(self, xp: ModuleType):
         x1 = xp.asarray([6, 5, 4, 7, 1, 2, 7, 4])
@@ -374,7 +374,7 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(actual, expected)
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
 class TestSinc:
     def test_simple(self, xp: ModuleType):
         xp_assert_equal(sinc(xp.asarray(0.0)), xp.asarray(1.0))
@@ -401,7 +401,7 @@ def test_xp(self, xp: ModuleType):
         xp_assert_equal(sinc(xp.asarray(0.0), xp=xp), xp.asarray(1.0))
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no arange, no device")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no arange, no device")
 class TestPad:
     def test_simple(self, xp: ModuleType):
         a = xp.arange(1, 4)
@@ -421,7 +421,7 @@ def test_ndim(self, xp: ModuleType):
     def test_mode_not_implemented(self, xp: ModuleType):
         a = xp.arange(3)
         with pytest.raises(NotImplementedError, match="Only `'constant'`"):
-            pad(a, 2, mode="edge")
+            pad(a, 2, mode="edge")  # type: ignore[arg-type]  # pyright: ignore[reportArgumentType]
 
     def test_device(self, xp: ModuleType, device: Device):
         a = xp.asarray(0.0, device=device)
@@ -439,7 +439,7 @@ def test_tuple_width(self, xp: ModuleType):
         padded = pad(a, (1, 2))
         assert padded.shape == (6, 7)
 
-        with pytest.raises(ValueError, match="expect a 2-tuple"):
+        with pytest.raises((ValueError, RuntimeError)):
             pad(a, [(1, 2, 3)])  # type: ignore[list-item]  # pyright: ignore[reportArgumentType]
 
     def test_list_of_tuples_width(self, xp: ModuleType):
diff --git a/tests/test_testing.py b/tests/test_testing.py
index 28b37d03..2dbc913a 100644
--- a/tests/test_testing.py
+++ b/tests/test_testing.py
@@ -1,10 +1,9 @@
 import numpy as np
 import pytest
 
+from array_api_extra._lib import Backend
 from array_api_extra._lib._testing import xp_assert_close, xp_assert_equal
 
-from .conftest import Library
-
 # mypy: disable-error-code=no-any-decorated
 # pyright: reportUnknownParameterType=false,reportMissingParameterType=false
 
@@ -15,7 +14,7 @@
         xp_assert_equal,
         pytest.param(
             xp_assert_close,
-            marks=pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype"),
+            marks=pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype"),
         ),
     ],
 )
@@ -36,15 +35,15 @@ def test_assert_close_equal_basic(xp, func):
         func(xp.asarray([1, 2]), xp.asarray([1, 3]), err_msg="hello")
 
 
-@pytest.mark.skip_xp_backend(Library.NUMPY)
-@pytest.mark.skip_xp_backend(Library.NUMPY_READONLY)
+@pytest.mark.skip_xp_backend(Backend.NUMPY)
+@pytest.mark.skip_xp_backend(Backend.NUMPY_READONLY)
 @pytest.mark.parametrize(
     "func",
     [
         xp_assert_equal,
         pytest.param(
             xp_assert_close,
-            marks=pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype"),
+            marks=pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype"),
         ),
     ],
 )
@@ -57,7 +56,7 @@ def test_assert_close_equal_namespace(xp, func):
         func(xp.asarray([0]), [0])
 
 
-@pytest.mark.skip_xp_backend(Library.SPARSE, reason="no isdtype")
+@pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no isdtype")
 def test_assert_close_tolerance(xp):
     xp_assert_close(xp.asarray([100.0]), xp.asarray([102.0]), rtol=0.03)
     with pytest.raises(AssertionError):
diff --git a/tests/test_utils.py b/tests/test_utils.py
index 8cf49c2a..1960b3eb 100644
--- a/tests/test_utils.py
+++ b/tests/test_utils.py
@@ -1,19 +1,20 @@
+from types import ModuleType
+
 import numpy as np
 import pytest
 
-from array_api_extra._lib._compat import device as get_device
+from array_api_extra._lib import Backend
 from array_api_extra._lib._testing import xp_assert_equal
-from array_api_extra._lib._typing import Array, Device, ModuleType
-from array_api_extra._lib._utils import in1d
-
-from .conftest import Library
+from array_api_extra._lib._utils._compat import device as get_device
+from array_api_extra._lib._utils._helpers import in1d
+from array_api_extra._lib._utils._typing import Array, Device
 
 # mypy: disable-error-code=no-untyped-usage
 
 
 class TestIn1D:
-    @pytest.mark.skip_xp_backend(Library.DASK_ARRAY, reason="no argsort")
-    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no unique_inverse, no device")
+    @pytest.mark.skip_xp_backend(Backend.DASK_ARRAY, reason="no argsort")
+    @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no unique_inverse, no device")
     # cover both code paths
     @pytest.mark.parametrize("x2", [np.arange(9), np.arange(15)])
     def test_no_invert_assume_unique(self, xp: ModuleType, x2: Array):
@@ -23,13 +24,13 @@ def test_no_invert_assume_unique(self, xp: ModuleType, x2: Array):
         actual = in1d(x1, x2)
         xp_assert_equal(actual, expected)
 
-    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no device")
+    @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no device")
     def test_device(self, xp: ModuleType, device: Device):
         x1 = xp.asarray([3, 8, 20], device=device)
         x2 = xp.asarray([2, 3, 4], device=device)
         assert get_device(in1d(x1, x2)) == device
 
-    @pytest.mark.skip_xp_backend(Library.SPARSE, reason="no arange, no device")
+    @pytest.mark.skip_xp_backend(Backend.SPARSE, reason="no arange, no device")
     def test_xp(self, xp: ModuleType):
         x1 = xp.asarray([1, 6])
         x2 = xp.arange(5)
diff --git a/vendor_tests/test_vendor.py b/vendor_tests/test_vendor.py
index e3202803..d94b73f8 100644
--- a/vendor_tests/test_vendor.py
+++ b/vendor_tests/test_vendor.py
@@ -37,6 +37,6 @@ def test_vendor_extra():
 
 def test_vendor_extra_uses_vendor_compat():
     from ._array_api_compat_vendor import array_namespace as n1
-    from .array_api_extra._lib._compat import array_namespace as n2
+    from .array_api_extra._lib._utils._compat import array_namespace as n2
 
     assert n1 is n2