diff --git a/codecov.yml b/codecov.yml
index f76a2bc1..1a517b3a 100644
--- a/codecov.yml
+++ b/codecov.yml
@@ -1,3 +1,4 @@
 comment: false
 ignore:
-  - "src/array_api_extra/_typing"
+  - "src/array_api_extra/_lib/_compat"
+  - "src/array_api_extra/_lib/_typing"
diff --git a/docs/api-reference.md b/docs/api-reference.md
index 1307b6fc..ffe68f24 100644
--- a/docs/api-reference.md
+++ b/docs/api-reference.md
@@ -11,5 +11,6 @@
     create_diagonal
     expand_dims
     kron
+    setdiff1d
     sinc
 ```
diff --git a/pixi.lock b/pixi.lock
index c4169a62..eaf64305 100644
--- a/pixi.lock
+++ b/pixi.lock
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       - conda: https://prefix.dev/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/tomli-2.1.0-pyhff2d567_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
       - conda: https://prefix.dev/conda-forge/win-64/ucrt-10.0.22621.0-h57928b3_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/urllib3-2.2.3-pyhd8ed1ab_0.conda
@@ -946,7 +958,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pylint-3.3.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.0-h9ebbce0_100_cp313.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.0-h9ebbce0_101_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/pyyaml-6.0.2-py313h536fd9c_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/readline-8.2-h8228510_1.conda
@@ -1007,7 +1019,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pylint-3.3.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.0-h75c3a9f_100_cp313.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.0-hbbac1ca_101_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/pyyaml-6.0.2-py313h20a7fcf_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/readline-8.2-h92ec313_1.conda
@@ -1068,7 +1080,7 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pycparser-2.22-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pylint-3.3.1-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.0-hf5aa216_100_cp313.conda
+      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.0-hf5aa216_101_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/pyyaml-6.0.2-py313ha7868ed_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/setuptools-75.6.0-pyhff2d567_1.conda
@@ -1130,12 +1142,13 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.0-h9ebbce0_100_cp313.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/python-3.13.0-h9ebbce0_101_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/linux-64/readline-8.2-h8228510_1.conda
       - conda: https://prefix.dev/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
       - conda: https://prefix.dev/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/noarch/tomli-2.1.0-pyhff2d567_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2
       - pypi: .
@@ -1167,12 +1180,13 @@ environments:
       - conda: https://prefix.dev/conda-forge/noarch/pluggy-1.5.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.0-h75c3a9f_100_cp313.conda
+      - conda: https://prefix.dev/conda-forge/osx-arm64/python-3.13.0-hbbac1ca_101_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/readline-8.2-h92ec313_1.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/tk-8.6.13-h5083fa2_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/noarch/tomli-2.1.0-pyhff2d567_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
       - conda: https://prefix.dev/conda-forge/osx-arm64/xz-5.2.6-h57fd34a_0.tar.bz2
       - pypi: .
@@ -1204,12 +1218,13 @@ environments:
       - conda: https://prefix.dev/conda-forge/win-64/pthreads-win32-2.9.1-h2466b09_4.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-8.3.3-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/pytest-cov-6.0.0-pyhd8ed1ab_0.conda
-      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.0-hf5aa216_100_cp313.conda
+      - conda: https://prefix.dev/conda-forge/win-64/python-3.13.0-hf5aa216_101_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/python_abi-3.13-5_cp313.conda
       - conda: https://prefix.dev/conda-forge/win-64/tbb-2021.13.0-hc790b64_0.conda
       - conda: https://prefix.dev/conda-forge/win-64/tk-8.6.13-h5226925_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/noarch/tomli-2.1.0-pyhff2d567_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/typing_extensions-4.12.2-pyha770c72_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda
       - conda: https://prefix.dev/conda-forge/win-64/ucrt-10.0.22621.0-h57928b3_1.conda
       - conda: https://prefix.dev/conda-forge/win-64/vc-14.3-ha32ba9b_23.conda
@@ -1274,8 +1289,9 @@ packages:
   name: array-api-extra
   version: 0.2.1.dev0
   path: .
-  sha256: 8df2522a223b90e904144fd84d4a1c3119b3e3eaa1a17f12d3fa98070195d147
+  sha256: 8e5573eb0fdab83a4df5f31277f541ecbf3b046edb8730d82dc1580593ced2d6
   requires_dist:
+  - typing-extensions
   - furo>=2023.8.17 ; extra == 'docs'
   - myst-parser>=0.13 ; extra == 'docs'
   - sphinx-autodoc-typehints ; extra == 'docs'
@@ -1794,6 +1810,7 @@ packages:
   arch: x86_64
   platform: win
   license: Apache-2.0
+  license_family: APACHE
   purls:
   - pkg:pypi/coverage?source=hash-mapping
   size: 319434
@@ -1815,6 +1832,7 @@ packages:
   arch: x86_64
   platform: linux
   license: Apache-2.0
+  license_family: APACHE
   purls:
   - pkg:pypi/coverage?source=hash-mapping
   size: 294004
@@ -1836,6 +1854,7 @@ packages:
   arch: arm64
   platform: osx
   license: Apache-2.0
+  license_family: APACHE
   purls:
   - pkg:pypi/coverage?source=hash-mapping
   size: 293158
@@ -1857,6 +1876,7 @@ packages:
   arch: x86_64
   platform: linux
   license: Apache-2.0
+  license_family: APACHE
   purls:
   - pkg:pypi/coverage?source=hash-mapping
   size: 371219
@@ -1878,6 +1898,7 @@ packages:
   arch: arm64
   platform: osx
   license: Apache-2.0
+  license_family: APACHE
   purls:
   - pkg:pypi/coverage?source=hash-mapping
   size: 370706
@@ -1900,6 +1921,7 @@ packages:
   arch: x86_64
   platform: win
   license: Apache-2.0
+  license_family: APACHE
   purls:
   - pkg:pypi/coverage?source=hash-mapping
   size: 396450
@@ -2182,13 +2204,13 @@ packages:
   timestamp: 1723739573141
 - kind: conda
   name: ipython
-  version: 8.29.0
+  version: 8.30.0
   build: pyh707e725_0
   subdir: noarch
   noarch: python
-  url: https://prefix.dev/conda-forge/noarch/ipython-8.29.0-pyh707e725_0.conda
-  sha256: 606723272a208cca1036852e04fbb61741b78451784746e75edd1becb70347d2
-  md5: 56db21d7d51410fcfbfeca3d1a6b4269
+  url: https://prefix.dev/conda-forge/noarch/ipython-8.30.0-pyh707e725_0.conda
+  sha256: 65cdc105e5effea2943d3979cc1592590c923a589009b484d07672faaf047af1
+  md5: 5d6e5cb3a4b820f61b2073f0ad5431f1
   depends:
   - __unix
   - decorator
@@ -2207,17 +2229,17 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/ipython?source=hash-mapping
-  size: 599356
-  timestamp: 1729866495921
+  size: 600248
+  timestamp: 1732897026255
 - kind: conda
   name: ipython
-  version: 8.29.0
+  version: 8.30.0
   build: pyh7428d3b_0
   subdir: noarch
   noarch: python
-  url: https://prefix.dev/conda-forge/noarch/ipython-8.29.0-pyh7428d3b_0.conda
-  sha256: 2208dbe96e94ba653c4e0a5f302e36f16df73eec1968cfb85eff2d9775c9ced1
-  md5: 9dc505b3569b4c26cffc241c50695f75
+  url: https://prefix.dev/conda-forge/noarch/ipython-8.30.0-pyh7428d3b_0.conda
+  sha256: 94ee8215bd1f614c9c984437b184e8dbe61a4014eb5813c276e3dcb18aaa7f46
+  md5: 6cdaebbc9e3feb2811eb9f52ed0b89e1
   depends:
   - __win
   - colorama
@@ -2236,8 +2258,8 @@ packages:
   license_family: BSD
   purls:
   - pkg:pypi/ipython?source=hash-mapping
-  size: 600237
-  timestamp: 1729866942619
+  size: 600466
+  timestamp: 1732897444811
 - kind: conda
   name: isort
   version: 5.13.2
@@ -4125,83 +4147,83 @@ packages:
 - kind: conda
   name: python
   version: 3.13.0
-  build: h75c3a9f_100_cp313
-  build_number: 100
-  subdir: osx-arm64
-  url: https://prefix.dev/conda-forge/osx-arm64/python-3.13.0-h75c3a9f_100_cp313.conda
-  sha256: be9464399b76ae1fef77853eed70267ef657a98a5f69f7df012b7c6a34792151
-  md5: 94ae22ea862d056ad1bc095443d02d73
+  build: h9ebbce0_101_cp313
+  build_number: 101
+  subdir: linux-64
+  url: https://prefix.dev/conda-forge/linux-64/python-3.13.0-h9ebbce0_101_cp313.conda
+  sha256: 66a7997b24b2dca636df11402abec7bd2199ddf6971eb47a3ee6b1d27d4faee9
+  md5: f4fea9d5bb3f2e61a39950a7ab70ee4e
   depends:
-  - __osx >=11.0
+  - __glibc >=2.17,<3.0.a0
   - bzip2 >=1.0.8,<2.0a0
-  - libexpat >=2.6.3,<3.0a0
+  - ld_impl_linux-64 >=2.36.1
+  - libexpat >=2.6.4,<3.0a0
   - libffi >=3.4,<4.0a0
+  - libgcc >=13
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.46.1,<4.0a0
+  - libsqlite >=3.47.0,<4.0a0
+  - libuuid >=2.38.1,<3.0a0
   - libzlib >=1.3.1,<2.0a0
   - ncurses >=6.5,<7.0a0
-  - openssl >=3.3.2,<4.0a0
+  - openssl >=3.4.0,<4.0a0
   - python_abi 3.13.* *_cp313
   - readline >=8.2,<9.0a0
   - tk >=8.6.13,<8.7.0a0
   - tzdata
   - xz >=5.2.6,<6.0a0
-  arch: arm64
-  platform: osx
+  arch: x86_64
+  platform: linux
   license: Python-2.0
   purls: []
-  size: 12804842
-  timestamp: 1729168680448
+  size: 33054218
+  timestamp: 1732736838043
 - kind: conda
   name: python
   version: 3.13.0
-  build: h9ebbce0_100_cp313
-  build_number: 100
-  subdir: linux-64
-  url: https://prefix.dev/conda-forge/linux-64/python-3.13.0-h9ebbce0_100_cp313.conda
-  sha256: 6ab5179679f0909db828d8316f3b8b379014a82404807310fe7df5a6cf303646
-  md5: 08e9aef080f33daeb192b2ddc7e4721f
+  build: hbbac1ca_101_cp313
+  build_number: 101
+  subdir: osx-arm64
+  url: https://prefix.dev/conda-forge/osx-arm64/python-3.13.0-hbbac1ca_101_cp313.conda
+  sha256: 742544a4cf9a10cf2c16d35d96fb696c27d58b9df0cc29fbef5629283aeca941
+  md5: e972e146a1e0cfb1f26da42cb6f6648c
   depends:
-  - __glibc >=2.17,<3.0.a0
+  - __osx >=11.0
   - bzip2 >=1.0.8,<2.0a0
-  - ld_impl_linux-64 >=2.36.1
-  - libexpat >=2.6.3,<3.0a0
+  - libexpat >=2.6.4,<3.0a0
   - libffi >=3.4,<4.0a0
-  - libgcc >=13
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.46.1,<4.0a0
-  - libuuid >=2.38.1,<3.0a0
+  - libsqlite >=3.47.0,<4.0a0
   - libzlib >=1.3.1,<2.0a0
   - ncurses >=6.5,<7.0a0
-  - openssl >=3.3.2,<4.0a0
+  - openssl >=3.4.0,<4.0a0
   - python_abi 3.13.* *_cp313
   - readline >=8.2,<9.0a0
   - tk >=8.6.13,<8.7.0a0
   - tzdata
   - xz >=5.2.6,<6.0a0
-  arch: x86_64
-  platform: linux
+  arch: arm64
+  platform: osx
   license: Python-2.0
   purls: []
-  size: 33112481
-  timestamp: 1728419573472
+  size: 12806496
+  timestamp: 1732735488999
 - kind: conda
   name: python
   version: 3.13.0
-  build: hf5aa216_100_cp313
-  build_number: 100
+  build: hf5aa216_101_cp313
+  build_number: 101
   subdir: win-64
-  url: https://prefix.dev/conda-forge/win-64/python-3.13.0-hf5aa216_100_cp313.conda
-  sha256: 18f3f0bd514c9101d38d57835b2d027958f3ae4b3b65c22d187a857aa26b3a08
-  md5: 3c2f7ad3f598480fe2a09e4e33cb1a2a
+  url: https://prefix.dev/conda-forge/win-64/python-3.13.0-hf5aa216_101_cp313.conda
+  sha256: b8eba57bd86c7890b27e67b477b52b5bd547946c354f29b9dbbc70ad83f2863b
+  md5: 158d6077a635cf0c0c23bec3955a4833
   depends:
   - bzip2 >=1.0.8,<2.0a0
-  - libexpat >=2.6.3,<3.0a0
+  - libexpat >=2.6.4,<3.0a0
   - libffi >=3.4,<4.0a0
   - libmpdec >=4.0.0,<5.0a0
-  - libsqlite >=3.46.1,<4.0a0
+  - libsqlite >=3.47.0,<4.0a0
   - libzlib >=1.3.1,<2.0a0
-  - openssl >=3.3.2,<4.0a0
+  - openssl >=3.4.0,<4.0a0
   - python_abi 3.13.* *_cp313
   - tk >=8.6.13,<8.7.0a0
   - tzdata
@@ -4213,8 +4235,8 @@ packages:
   platform: win
   license: Python-2.0
   purls: []
-  size: 16641177
-  timestamp: 1728417810202
+  size: 16697406
+  timestamp: 1732734725404
 - kind: conda
   name: python_abi
   version: '3.10'
@@ -5108,6 +5130,7 @@ packages:
   - platformdirs >=3.9.1,<5
   - python >=3.9
   license: MIT
+  license_family: MIT
   purls:
   - pkg:pypi/virtualenv?source=hash-mapping
   size: 3350255
diff --git a/pyproject.toml b/pyproject.toml
index 5bc15b9e..ec5fcbf0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -26,7 +26,7 @@ classifiers = [
     "Typing :: Typed",
 ]
 dynamic = ["version"]
-dependencies = []
+dependencies = ["typing-extensions"]
 
 [project.optional-dependencies]
 tests = [
@@ -64,6 +64,7 @@ platforms = ["linux-64", "osx-arm64", "win-64"]
 
 [tool.pixi.dependencies]
 python = ">=3.10.15,<3.14"
+typing_extensions = ">=4.12.2,<4.13"
 
 [tool.pixi.pypi-dependencies]
 array-api-extra = { path = ".", editable = true }
diff --git a/src/array_api_extra/__init__.py b/src/array_api_extra/__init__.py
index b7751594..46b1388f 100644
--- a/src/array_api_extra/__init__.py
+++ b/src/array_api_extra/__init__.py
@@ -1,9 +1,10 @@
 from __future__ import annotations
 
-from ._funcs import atleast_nd, cov, create_diagonal, expand_dims, kron, sinc
+from ._funcs import atleast_nd, cov, create_diagonal, expand_dims, kron, setdiff1d, sinc
 
 __version__ = "0.2.1.dev0"
 
+# pylint: disable=duplicate-code
 __all__ = [
     "__version__",
     "atleast_nd",
@@ -11,5 +12,6 @@
     "create_diagonal",
     "expand_dims",
     "kron",
+    "setdiff1d",
     "sinc",
 ]
diff --git a/src/array_api_extra/_funcs.py b/src/array_api_extra/_funcs.py
index a305bfb5..4062c56f 100644
--- a/src/array_api_extra/_funcs.py
+++ b/src/array_api_extra/_funcs.py
@@ -1,12 +1,22 @@
-from __future__ import annotations
+from __future__ import annotations  # https://github.com/pylint-dev/pylint/pull/9990
 
 import typing
 import warnings
 
 if typing.TYPE_CHECKING:
-    from ._typing import Array, ModuleType
+    from ._lib._typing import Array, ModuleType
 
-__all__ = ["atleast_nd", "cov", "create_diagonal", "expand_dims", "kron", "sinc"]
+from ._lib import _utils
+
+__all__ = [
+    "atleast_nd",
+    "cov",
+    "create_diagonal",
+    "expand_dims",
+    "kron",
+    "setdiff1d",
+    "sinc",
+]
 
 
 def atleast_nd(x: Array, /, *, ndim: int, xp: ModuleType) -> Array:
@@ -399,6 +409,53 @@ def kron(a: Array, b: Array, /, *, xp: ModuleType) -> Array:
     return xp.reshape(result, tuple(xp.multiply(a_shape, b_shape)))
 
 
+def setdiff1d(
+    x1: Array, x2: Array, /, *, assume_unique: bool = False, xp: ModuleType
+) -> Array:
+    """
+    Find the set difference of two arrays.
+
+    Return the unique values in `x1` that are not in `x2`.
+
+    Parameters
+    ----------
+    x1 : array
+        Input array.
+    x2 : array
+        Input comparison array.
+    assume_unique : bool
+        If ``True``, the input arrays are both assumed to be unique, which
+        can speed up the calculation. Default is ``False``.
+    xp : array_namespace
+        The standard-compatible namespace for `x1` and `x2`.
+
+    Returns
+    -------
+    res : array
+        1D array of values in `x1` that are not in `x2`. The result
+        is sorted when `assume_unique` is ``False``, but otherwise only sorted
+        if the input is sorted.
+
+    Examples
+    --------
+    >>> import array_api_strict as xp
+    >>> import array_api_extra as xpx
+
+    >>> x1 = xp.asarray([1, 2, 3, 2, 4, 1])
+    >>> x2 = xp.asarray([3, 4, 5, 6])
+    >>> xpx.setdiff1d(x1, x2, xp=xp)
+    Array([1, 2], dtype=array_api_strict.int64)
+
+    """
+
+    if assume_unique:
+        x1 = xp.reshape(x1, (-1,))
+    else:
+        x1 = xp.unique_values(x1)
+        x2 = xp.unique_values(x2)
+    return x1[_utils.in1d(x1, x2, assume_unique=True, invert=True, xp=xp)]
+
+
 def sinc(x: Array, /, *, xp: ModuleType) -> Array:
     r"""
     Return the normalized sinc function.
diff --git a/src/array_api_extra/_lib/_compat.py b/src/array_api_extra/_lib/_compat.py
new file mode 100644
index 00000000..b9577ff3
--- /dev/null
+++ b/src/array_api_extra/_lib/_compat.py
@@ -0,0 +1,168 @@
+### Helpers borrowed from array-api-compat
+
+from __future__ import annotations  # https://github.com/pylint-dev/pylint/pull/9990
+
+import inspect
+import sys
+import typing
+
+from typing_extensions import override
+
+if typing.TYPE_CHECKING:
+    from ._typing import Array, Device
+
+__all__ = ["device"]
+
+
+# Placeholder object to represent the dask device
+# when the array backend is not the CPU.
+# (since it is not easy to tell which device a dask array is on)
+class _dask_device:  # pylint: disable=invalid-name
+    @override
+    def __repr__(self) -> str:
+        return "DASK_DEVICE"
+
+
+_DASK_DEVICE = _dask_device()
+
+
+# device() is not on numpy.ndarray or dask.array and to_device() is not on numpy.ndarray
+# or cupy.ndarray. They are not included in array objects of this library
+# because this library just reuses the respective ndarray classes without
+# wrapping or subclassing them. These helper functions can be used instead of
+# the wrapper functions for libraries that need to support both NumPy/CuPy and
+# other libraries that use devices.
+def device(x: Array, /) -> Device:
+    """
+    Hardware device the array data resides on.
+
+    This is equivalent to `x.device` according to the `standard
+    <https://data-apis.org/array-api/latest/API_specification/generated/array_api.array.device.html>`__.
+    This helper is included because some array libraries either do not have
+    the `device` attribute or include it with an incompatible API.
+
+    Parameters
+    ----------
+    x: array
+        array instance from an array API compatible library.
+
+    Returns
+    -------
+    out: device
+        a ``device`` object (see the `Device Support <https://data-apis.org/array-api/latest/design_topics/device_support.html>`__
+        section of the array API specification).
+
+    Notes
+    -----
+
+    For NumPy the device is always `"cpu"`. For Dask, the device is always a
+    special `DASK_DEVICE` object.
+
+    See Also
+    --------
+
+    to_device : Move array data to a different device.
+
+    """
+    if _is_numpy_array(x):
+        return "cpu"
+    if _is_dask_array(x):
+        # Peek at the metadata of the jax array to determine type
+        try:
+            import numpy as np  # pylint: disable=import-outside-toplevel
+
+            if isinstance(x._meta, np.ndarray):  # pylint: disable=protected-access
+                # Must be on CPU since backed by numpy
+                return "cpu"
+        except ImportError:
+            pass
+        return _DASK_DEVICE
+    if _is_jax_array(x):
+        # JAX has .device() as a method, but it is being deprecated so that it
+        # can become a property, in accordance with the standard. In order for
+        # this function to not break when JAX makes the flip, we check for
+        # both here.
+        if inspect.ismethod(x.device):
+            return x.device()
+        return x.device
+    if _is_pydata_sparse_array(x):
+        # `sparse` will gain `.device`, so check for this first.
+        x_device = getattr(x, "device", None)
+        if x_device is not None:
+            return x_device
+        # Everything but DOK has this attr.
+        try:
+            inner = x.data
+        except AttributeError:
+            return "cpu"
+        # Return the device of the constituent array
+        return device(inner)
+    return x.device
+
+
+def _is_numpy_array(x: Array) -> bool:
+    """Return True if `x` is a NumPy array."""
+    # Avoid importing NumPy if it isn't already
+    if "numpy" not in sys.modules:
+        return False
+
+    import numpy as np  # pylint: disable=import-outside-toplevel
+
+    # TODO: Should we reject ndarray subclasses?
+    return isinstance(x, (np.ndarray, np.generic)) and not _is_jax_zero_gradient_array(
+        x
+    )
+
+
+def _is_dask_array(x: Array) -> bool:
+    """Return True if `x` is a dask.array Array."""
+    # Avoid importing dask if it isn't already
+    if "dask.array" not in sys.modules:
+        return False
+
+    # pylint: disable=import-error, import-outside-toplevel
+    import dask.array  # type: ignore[import-not-found]  # pyright: ignore[reportMissingImports]
+
+    return isinstance(x, dask.array.Array)
+
+
+def _is_jax_zero_gradient_array(x: Array) -> bool:
+    """Return True if `x` is a zero-gradient array.
+
+    These arrays are a design quirk of Jax that may one day be removed.
+    See https://github.com/google/jax/issues/20620.
+    """
+    if "numpy" not in sys.modules or "jax" not in sys.modules:
+        return False
+
+    # pylint: disable=import-error, import-outside-toplevel
+    import jax  # type: ignore[import-not-found]  # pyright: ignore[reportMissingImports]
+    import numpy as np  # pylint: disable=import-outside-toplevel
+
+    return isinstance(x, np.ndarray) and x.dtype == jax.float0  # pyright: ignore[reportUnknownVariableType]
+
+
+def _is_jax_array(x: Array) -> bool:
+    """Return True if `x` is a JAX array."""
+    # Avoid importing jax if it isn't already
+    if "jax" not in sys.modules:
+        return False
+
+    # pylint: disable=import-error, import-outside-toplevel
+    import jax  # pyright: ignore[reportMissingImports]
+
+    return isinstance(x, jax.Array) or _is_jax_zero_gradient_array(x)
+
+
+def _is_pydata_sparse_array(x: Array) -> bool:
+    """Return True if `x` is an array from the `sparse` package."""
+
+    # Avoid importing jax if it isn't already
+    if "sparse" not in sys.modules:
+        return False
+
+    # pylint: disable=import-error, import-outside-toplevel
+    import sparse  # type: ignore[import-not-found]  # pyright: ignore[reportMissingImports]
+
+    # TODO: Account for other backends.
+    return isinstance(x, sparse.SparseArray)
diff --git a/src/array_api_extra/_lib/_typing.py b/src/array_api_extra/_lib/_typing.py
new file mode 100644
index 00000000..13079807
--- /dev/null
+++ b/src/array_api_extra/_lib/_typing.py
@@ -0,0 +1,10 @@
+from __future__ import annotations  # https://github.com/pylint-dev/pylint/pull/9990
+
+from types import ModuleType
+from typing import Any
+
+# To be changed to a Protocol later (see data-apis/array-api#589)
+Array = Any  # type: ignore[no-any-explicit]
+Device = Any  # type: ignore[no-any-explicit]
+
+__all__ = ["Array", "Device", "ModuleType"]
diff --git a/src/array_api_extra/_lib/_utils.py b/src/array_api_extra/_lib/_utils.py
new file mode 100644
index 00000000..bf65340e
--- /dev/null
+++ b/src/array_api_extra/_lib/_utils.py
@@ -0,0 +1,65 @@
+from __future__ import annotations  # https://github.com/pylint-dev/pylint/pull/9990
+
+import typing
+
+if typing.TYPE_CHECKING:
+    from ._typing import Array, ModuleType
+
+from . import _compat
+
+__all__ = ["in1d"]
+
+
+def in1d(
+    x1: Array,
+    x2: Array,
+    /,
+    *,
+    assume_unique: bool = False,
+    invert: bool = False,
+    xp: ModuleType,
+) -> Array:
+    """Checks whether each element of an array is also present in a
+    second array.
+
+    Returns a boolean array the same length as `x1` that is True
+    where an element of `x1` is in `x2` and False otherwise.
+
+    This function has been adapted using the original implementation
+    present in numpy:
+    https://github.com/numpy/numpy/blob/v1.26.0/numpy/lib/arraysetops.py#L524-L758
+    """
+
+    # This code is run to make the code significantly faster
+    if x2.shape[0] < 10 * x1.shape[0] ** 0.145:
+        if invert:
+            mask = xp.ones(x1.shape[0], dtype=xp.bool, device=x1.device)
+            for a in x2:
+                mask &= x1 != a
+        else:
+            mask = xp.zeros(x1.shape[0], dtype=xp.bool, device=x1.device)
+            for a in x2:
+                mask |= x1 == a
+        return mask
+
+    rev_idx = xp.empty(0)  # placeholder
+    if not assume_unique:
+        x1, rev_idx = xp.unique_inverse(x1)
+        x2 = xp.unique_values(x2)
+
+    ar = xp.concat((x1, x2))
+    device_ = _compat.device(ar)
+    # We need this to be a stable sort.
+    order = xp.argsort(ar, stable=True)
+    reverse_order = xp.argsort(order, stable=True)
+    sar = xp.take(ar, order, axis=0)
+    if sar.size >= 1:
+        bool_ar = sar[1:] != sar[:-1] if invert else sar[1:] == sar[:-1]
+    else:
+        bool_ar = xp.asarray([False]) if invert else xp.asarray([True])
+    flag = xp.concat((bool_ar, xp.asarray([invert], device=device_)))
+    ret = xp.take(flag, reverse_order, axis=0)
+
+    if assume_unique:
+        return ret[: x1.shape[0]]
+    return xp.take(ret, rev_idx, axis=0)
diff --git a/src/array_api_extra/_typing.py b/src/array_api_extra/_typing.py
deleted file mode 100644
index 5584d511..00000000
--- a/src/array_api_extra/_typing.py
+++ /dev/null
@@ -1,9 +0,0 @@
-from __future__ import annotations
-
-from types import ModuleType
-from typing import Any
-
-# To be changed to a Protocol later (see data-apis/array-api#589)
-Array = Any  # type: ignore[no-any-explicit]
-
-__all__ = ["Array", "ModuleType"]
diff --git a/tests/test_funcs.py b/tests/test_funcs.py
index 827da9c4..36411958 100644
--- a/tests/test_funcs.py
+++ b/tests/test_funcs.py
@@ -1,4 +1,4 @@
-from __future__ import annotations
+from __future__ import annotations  # https://github.com/pylint-dev/pylint/pull/9990
 
 import contextlib
 import typing
@@ -10,10 +10,18 @@
 import pytest
 from numpy.testing import assert_allclose, assert_array_equal, assert_equal
 
-from array_api_extra import atleast_nd, cov, create_diagonal, expand_dims, kron, sinc
+from array_api_extra import (
+    atleast_nd,
+    cov,
+    create_diagonal,
+    expand_dims,
+    kron,
+    setdiff1d,
+    sinc,
+)
 
 if typing.TYPE_CHECKING:
-    from array_api_extra._typing import Array
+    from array_api_extra._lib._typing import Array
 
 
 class TestAtLeastND:
@@ -263,6 +271,34 @@ def test_positive_negative_repeated(self):
             expand_dims(a, axis=(3, -3), xp=xp)
 
 
+class TestSetDiff1D:
+    def test_setdiff1d(self):
+        x1 = xp.asarray([6, 5, 4, 7, 1, 2, 7, 4])
+        x2 = xp.asarray([2, 4, 3, 3, 2, 1, 5])
+
+        expected = xp.asarray([6, 7])
+        actual = setdiff1d(x1, x2, xp=xp)
+        assert_array_equal(actual, expected)
+
+        x1 = xp.arange(21)
+        x2 = xp.arange(19)
+        expected = xp.asarray([19, 20])
+        actual = setdiff1d(x1, x2, xp=xp)
+        assert_array_equal(actual, expected)
+
+        assert_array_equal(setdiff1d(xp.empty(0), xp.empty(0), xp=xp), xp.empty(0))
+        x1 = xp.empty(0, dtype=xp.uint32)
+        x2 = x1
+        assert_equal(setdiff1d(x1, x2, xp=xp).dtype, xp.uint32)
+
+    def test_assume_unique(self):
+        x1 = xp.asarray([3, 2, 1])
+        x2 = xp.asarray([7, 5, 2])
+        expected = xp.asarray([3, 1])
+        actual = setdiff1d(x1, x2, assume_unique=True, xp=xp)
+        assert_array_equal(actual, expected)
+
+
 class TestSinc:
     def test_simple(self):
         assert_array_equal(sinc(xp.asarray(0.0), xp=xp), xp.asarray(1.0))
diff --git a/tests/test_utils.py b/tests/test_utils.py
new file mode 100644
index 00000000..a34ec56f
--- /dev/null
+++ b/tests/test_utils.py
@@ -0,0 +1,24 @@
+from __future__ import annotations  # https://github.com/pylint-dev/pylint/pull/9990
+
+import typing
+
+# data-apis/array-api-strict#6
+import array_api_strict as xp  # type: ignore[import-untyped]  # pyright: ignore[reportMissingTypeStubs]
+import pytest
+from numpy.testing import assert_array_equal
+
+from array_api_extra._lib._utils import in1d
+
+if typing.TYPE_CHECKING:
+    from array_api_extra._lib._typing import Array
+
+
+# some test coverage already provided by TestSetDiff1D
+class TestIn1D:
+    # cover both code paths
+    @pytest.mark.parametrize("x2", [xp.arange(9), xp.arange(15)])
+    def test_no_invert_assume_unique(self, x2: Array):
+        x1 = xp.asarray([3, 8, 20])
+        expected = xp.asarray([True, True, False])
+        actual = in1d(x1, x2, xp=xp)
+        assert_array_equal(actual, expected)
diff --git a/tests/test_version.py b/tests/test_version.py
index 21d43d17..1b20232f 100644
--- a/tests/test_version.py
+++ b/tests/test_version.py
@@ -1,4 +1,4 @@
-from __future__ import annotations
+from __future__ import annotations  # https://github.com/pylint-dev/pylint/pull/9990
 
 import importlib.metadata