diff --git a/.gitignore b/.gitignore
index 6769ec3..3b0fc39 100644
--- a/.gitignore
+++ b/.gitignore
@@ -158,4 +158,5 @@ cython_debug/
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 #.idea/
-.pdm-python
\ No newline at end of file
+.pdm-python
+ndarray.pyi
\ No newline at end of file
diff --git a/pdm.lock b/pdm.lock
index c398836..69484ac 100644
--- a/pdm.lock
+++ b/pdm.lock
@@ -2,28 +2,116 @@
 # It is not intended for manual editing.
 
 [metadata]
-groups = ["default"]
+groups = ["default", "arrays", "dask", "dev", "docs", "hdf5", "tests"]
 strategy = ["cross_platform", "inherit_metadata"]
 lock_version = "4.4.1"
 content_hash = "sha256:761d4dccd4e594b9e441dddefdb5677d22a4a94c129183e0bb8c88d9acbea1b9"
 
+[[package]]
+name = "alabaster"
+version = "0.7.16"
+requires_python = ">=3.9"
+summary = "A light, configurable Sphinx theme"
+groups = ["dev", "docs"]
+files = [
+    {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
+    {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
+]
+
 [[package]]
 name = "annotated-types"
 version = "0.6.0"
 requires_python = ">=3.8"
 summary = "Reusable constraint types to use with typing.Annotated"
-groups = ["default"]
+groups = ["arrays", "default", "dev", "docs", "tests"]
 files = [
     {file = "annotated_types-0.6.0-py3-none-any.whl", hash = "sha256:0641064de18ba7a25dee8f96403ebc39113d0cb953a01429249d5c7564666a43"},
     {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
 ]
 
+[[package]]
+name = "autodoc-pydantic"
+version = "2.1.0"
+requires_python = ">=3.8,<4.0.0"
+summary = "Seamlessly integrate pydantic models in your Sphinx documentation."
+groups = ["dev", "docs"]
+dependencies = [
+    "Sphinx>=4.0",
+    "pydantic-settings<3.0.0,>=2.0",
+    "pydantic<3.0.0,>=2.0",
+]
+files = [
+    {file = "autodoc_pydantic-2.1.0-py3-none-any.whl", hash = "sha256:9f1f82ee3667589dfa08b21697be8bbd80b15110e838cd765bb1bf3ce1b0ea8f"},
+    {file = "autodoc_pydantic-2.1.0.tar.gz", hash = "sha256:3cf1b973e2f5ff0fbbe9b951c11827b5e32d3409e238f7f5782359426ab8d360"},
+]
+
+[[package]]
+name = "babel"
+version = "2.14.0"
+requires_python = ">=3.7"
+summary = "Internationalization utilities"
+groups = ["dev", "docs"]
+files = [
+    {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
+    {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"},
+]
+
+[[package]]
+name = "beautifulsoup4"
+version = "4.12.3"
+requires_python = ">=3.6.0"
+summary = "Screen-scraping library"
+groups = ["dev", "docs"]
+dependencies = [
+    "soupsieve>1.2",
+]
+files = [
+    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
+]
+
+[[package]]
+name = "black"
+version = "24.3.0"
+requires_python = ">=3.8"
+summary = "The uncompromising code formatter."
+groups = ["dev"]
+dependencies = [
+    "click>=8.0.0",
+    "mypy-extensions>=0.4.3",
+    "packaging>=22.0",
+    "pathspec>=0.9.0",
+    "platformdirs>=2",
+    "tomli>=1.1.0; python_version < \"3.11\"",
+    "typing-extensions>=4.0.1; python_version < \"3.11\"",
+]
+files = [
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+    {file = "black-24.3.0-cp312-cp312-win_amd64.whl", hash = "sha256:56f52cfbd3dabe2798d76dbdd299faa046a901041faf2cf33288bc4e6dae57b5"},
+    {file = "black-24.3.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c45f8dff244b3c431b36e3224b6be4a127c6aca780853574c00faf99258041eb"},
+    {file = "black-24.3.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6905238a754ceb7788a73f02b45637d820b2f5478b20fec82ea865e4f5d4d9f7"},
+    {file = "black-24.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7de8d330763c66663661a1ffd432274a2f92f07feeddd89ffd085b5744f85e7"},
+    {file = "black-24.3.0-cp39-cp39-win_amd64.whl", hash = "sha256:7bb041dca0d784697af4646d3b62ba4a6b028276ae878e53f6b4f74ddd6db99f"},
+    {file = "black-24.3.0-py3-none-any.whl", hash = "sha256:41622020d7120e01d377f74249e677039d20e6344ff5851de8a10f11f513bf93"},
+    {file = "black-24.3.0.tar.gz", hash = "sha256:a0c9c4a0771afc6919578cec71ce82a3e31e054904e7197deacbc9382671c41f"},
+]
+
 [[package]]
 name = "blosc2"
 version = "2.5.1"
 requires_python = "<4,>=3.8"
 summary = "Python wrapper for the C-Blosc2 library"
-groups = ["default"]
+groups = ["arrays", "default", "dev", "tests"]
 dependencies = [
     "msgpack",
     "ndindex>=1.4",
@@ -62,12 +150,547 @@ files = [
     {file = "blosc2-2.5.1.tar.gz", hash = "sha256:47d5df50e7286edf81e629ece35f87f13f55c13c5e8545832188c420c75d1659"},
 ]
 
+[[package]]
+name = "certifi"
+version = "2024.2.2"
+requires_python = ">=3.6"
+summary = "Python package for providing Mozilla's CA Bundle."
+groups = ["dev", "docs", "tests"]
+files = [
+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+]
+
+[[package]]
+name = "charset-normalizer"
+version = "3.3.2"
+requires_python = ">=3.7.0"
+summary = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
+groups = ["dev", "docs", "tests"]
+files = [
+    {file = "charset-normalizer-3.3.2.tar.gz", hash = "sha256:f30c3cb33b24454a82faecaf01b19c18562b1e89558fb6c56de4d9118a032fd5"},
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+requires_python = ">=3.7"
+summary = "Markdown URL utilities"
+groups = ["dev", "docs"]
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+]
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 version = "1.0.8"
 requires_python = ">=3.8"
 summary = "MessagePack serializer"
-groups = ["default"]
+groups = ["arrays", "default", "dev", "tests"]
 files = [
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@@ -116,23 +739,64 @@ files = [
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+groups = ["dev"]
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+]
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+requires_python = ">=3.8"
+summary = "An extended [CommonMark](https://spec.commonmark.org/) compliant parser,"
+groups = ["dev", "docs"]
+dependencies = [
+    "docutils<0.21,>=0.16",
+    "jinja2",
+    "markdown-it-py~=3.0",
+    "mdit-py-plugins~=0.4",
+    "pyyaml",
+    "sphinx<8,>=6",
+]
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 version = "1.8"
 requires_python = ">=3.8"
 summary = "A Python library for manipulating indices of ndarrays."
-groups = ["default"]
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 ]
 
+[[package]]
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+version = "3.2.1"
+requires_python = ">=3.9"
+summary = "Python package for creating and manipulating graphs and networks"
+groups = ["dev", "tests"]
+files = [
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+    {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"},
+]
+
 [[package]]
 name = "nptyping"
 version = "2.5.0"
 requires_python = ">=3.7"
 summary = "Type hints for NumPy."
-groups = ["default"]
+groups = ["arrays", "default", "dev", "tests"]
 dependencies = [
     "numpy<2.0.0,>=1.20.0; python_version >= \"3.8\"",
     "typing-extensions<5.0.0,>=4.0.0; python_version < \"3.10\"",
@@ -147,7 +811,7 @@ name = "numpy"
 version = "1.26.4"
 requires_python = ">=3.9"
 summary = "Fundamental package for array computing in Python"
-groups = ["default"]
+groups = ["arrays", "dask", "default", "dev", "hdf5", "tests"]
 files = [
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@@ -187,11 +851,70 @@ files = [
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 ]
 
+[[package]]
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+version = "24.0"
+requires_python = ">=3.7"
+summary = "Core utilities for Python packages"
+groups = ["arrays", "dask", "dev", "docs", "tests"]
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+]
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+[[package]]
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+requires_python = ">=3.7"
+summary = "Appendable key-value storage"
+groups = ["arrays", "dask", "dev", "tests"]
+dependencies = [
+    "locket",
+    "toolz",
+]
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+    {file = "partd-1.4.1.tar.gz", hash = "sha256:56c25dd49e6fea5727e731203c466c6e092f308d8f0024e199d02f6aa2167f67"},
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+requires_python = ">=3.8"
+summary = "Utility library for gitignore style pattern matching of file paths."
+groups = ["dev"]
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+    {file = "pathspec-0.12.1.tar.gz", hash = "sha256:a482d51503a1ab33b1c67a6c3813a26953dbdc71c31dacaef9a838c4e29f5712"},
+]
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+[[package]]
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+requires_python = ">=3.8"
+summary = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+groups = ["dev"]
+files = [
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+]
+
+[[package]]
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+version = "1.4.0"
+requires_python = ">=3.8"
+summary = "plugin and hook calling mechanisms for python"
+groups = ["dev", "tests"]
+files = [
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+    {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
+]
+
 [[package]]
 name = "py-cpuinfo"
 version = "9.0.0"
 summary = "Get CPU info with pure Python"
-groups = ["default"]
+groups = ["arrays", "default", "dev", "tests"]
 files = [
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@@ -202,7 +925,7 @@ name = "pydantic"
 version = "2.6.4"
 requires_python = ">=3.8"
 summary = "Data validation using Python type hints"
-groups = ["default"]
+groups = ["arrays", "default", "dev", "docs", "tests"]
 dependencies = [
     "annotated-types>=0.4.0",
     "pydantic-core==2.16.3",
@@ -218,7 +941,7 @@ name = "pydantic-core"
 version = "2.16.3"
 requires_python = ">=3.8"
 summary = ""
-groups = ["default"]
+groups = ["arrays", "default", "dev", "docs", "tests"]
 dependencies = [
     "typing-extensions!=4.7.0,>=4.6.0",
 ]
@@ -292,13 +1015,423 @@ files = [
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 ]
 
+[[package]]
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+requires_python = ">=3.8"
+summary = "Settings management using Pydantic"
+groups = ["dev", "docs"]
+dependencies = [
+    "pydantic>=2.3.0",
+    "python-dotenv>=0.21.0",
+]
+files = [
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+    {file = "pydantic_settings-2.2.1.tar.gz", hash = "sha256:00b9f6a5e95553590434c0fa01ead0b216c3e10bc54ae02e37f359948643c5ed"},
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+summary = "Pygments is a syntax highlighting package written in Python."
+groups = ["dev", "docs"]
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+requires_python = ">=3.8"
+summary = "pytest: simple powerful testing with Python"
+groups = ["dev", "tests"]
+dependencies = [
+    "colorama; sys_platform == \"win32\"",
+    "exceptiongroup>=1.0.0rc8; python_version < \"3.11\"",
+    "iniconfig",
+    "packaging",
+    "pluggy<2.0,>=1.4",
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+    {file = "tornado-6.4-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:71ddfc23a0e03ef2df1c1397d859868d158c8276a0603b96cf86892bff58149f"},
+    {file = "tornado-6.4-cp38-abi3-win32.whl", hash = "sha256:6f8a6c77900f5ae93d8b4ae1196472d0ccc2775cc1dfdc9e7727889145c45052"},
+    {file = "tornado-6.4-cp38-abi3-win_amd64.whl", hash = "sha256:10aeaa8006333433da48dec9fe417877f8bcc21f48dda8d661ae79da357b2a63"},
+    {file = "tornado-6.4.tar.gz", hash = "sha256:72291fa6e6bc84e626589f1c29d90a5a6d593ef5ae68052ee2ef000dfd273dee"},
+]
+
 [[package]]
 name = "typing-extensions"
 version = "4.10.0"
 requires_python = ">=3.8"
 summary = "Backported and Experimental Type Hints for Python 3.8+"
-groups = ["default"]
+groups = ["arrays", "default", "dev", "docs", "tests"]
 files = [
     {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
     {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
 ]
+
+[[package]]
+name = "urllib3"
+version = "2.2.1"
+requires_python = ">=3.8"
+summary = "HTTP library with thread-safe connection pooling, file post, and more."
+groups = ["dev", "docs", "tests"]
+files = [
+    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
+    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
+]
+
+[[package]]
+name = "zipp"
+version = "3.18.1"
+requires_python = ">=3.8"
+summary = "Backport of pathlib-compatible object wrapper for zip files"
+groups = ["arrays", "dask", "dev", "docs", "tests"]
+marker = "python_version < \"3.12\""
+files = [
+    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
+    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
+]
diff --git a/pyproject.toml b/pyproject.toml
index 0979e59..1c12a86 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -94,11 +94,16 @@ select = [
     # whitespace
     "D210", "D211",
     # emptiness
-    "D419"
+    "D419",
+
 
 ]
 ignore = [
-    "ANN101", "ANN102"
+    "ANN101", "ANN102", "ANN401",
+    # builtin type annotations
+    "UP006", "UP035",
+    # docstrings for __init__
+    "D107",
 ]
 
 fixable = ["ALL"]
diff --git a/src/numpydantic/__init__.py b/src/numpydantic/__init__.py
index 9abd141..f8fd847 100644
--- a/src/numpydantic/__init__.py
+++ b/src/numpydantic/__init__.py
@@ -2,10 +2,11 @@
 # ruff: noqa: F401
 # ruff: noqa: I001
 from numpydantic.monkeypatch import apply_patches
+
 apply_patches()
 
 from numpydantic.ndarray import NDArray
 
-__all__ = [
-    "NDArray"
-]
\ No newline at end of file
+from numpydantic.meta import update_ndarray_stub
+
+update_ndarray_stub()
diff --git a/src/numpydantic/exceptions.py b/src/numpydantic/exceptions.py
new file mode 100644
index 0000000..ba195a0
--- /dev/null
+++ b/src/numpydantic/exceptions.py
@@ -0,0 +1,6 @@
+class DtypeError(TypeError):
+    """Exception raised for invalid dtypes"""
+
+
+class ShapeError(ValueError):
+    """Exception raise for invalid shapes"""
diff --git a/src/numpydantic/interface/__init__.py b/src/numpydantic/interface/__init__.py
new file mode 100644
index 0000000..fce5b1f
--- /dev/null
+++ b/src/numpydantic/interface/__init__.py
@@ -0,0 +1,4 @@
+from numpydantic.interface.interface import Interface
+from numpydantic.interface.numpy import NumpyInterface
+
+__all__ = ["Interface", "NumpyInterface"]
diff --git a/src/numpydantic/interface/dask.py b/src/numpydantic/interface/dask.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/numpydantic/interface/hdf5.py b/src/numpydantic/interface/hdf5.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/numpydantic/interface/interface.py b/src/numpydantic/interface/interface.py
new file mode 100644
index 0000000..d7b496d
--- /dev/null
+++ b/src/numpydantic/interface/interface.py
@@ -0,0 +1,125 @@
+from abc import ABC, abstractmethod
+from operator import attrgetter
+from typing import Any, Generic, List, Type, TypeVar, Tuple
+
+from nptyping.shape_expression import check_shape
+
+from numpydantic.exceptions import DtypeError, ShapeError
+from numpydantic.types import DtypeType, NDArrayType, ShapeType
+
+T = TypeVar("T", bound=NDArrayType)
+
+
+class Interface(ABC, Generic[T]):
+    """
+    Abstract parent class for interfaces to different array formats
+    """
+
+    return_type: Type[T]
+    priority: int = 0
+
+    def __init__(self, shape: ShapeType, dtype: DtypeType) -> None:
+        self.shape = shape
+        self.dtype = dtype
+
+    def validate(self, array: Any) -> T:
+        """
+        Validate input, returning final array type
+        """
+        array = self.before_validation(array)
+        array = self.validate_dtype(array)
+        array = self.validate_shape(array)
+        array = self.after_validation(array)
+        return array
+
+    def before_validation(self, array: Any) -> NDArrayType:
+        """
+        Optional step pre-validation that coerces the input into a type that can be
+        validated for shape and dtype
+
+        Default method is a no-op
+        """
+        return array
+
+    def validate_dtype(self, array: NDArrayType) -> NDArrayType:
+        """
+        Validate the dtype of the given array, returning it unmutated.
+
+        Raises:
+            :class:`~numpydantic.exceptions.DtypeError`
+        """
+        if self.dtype is Any:
+            return array
+        if not array.dtype == self.dtype:
+            raise DtypeError(f"Invalid dtype! expected {self.dtype}, got {array.dtype}")
+        return array
+
+    def validate_shape(self, array: NDArrayType) -> NDArrayType:
+        """
+        Validate the shape of the given array, returning it unmutated
+
+        Raises:
+            :class:`~numpydantic.exceptions.ShapeError`
+        """
+        if self.shape is Any:
+            return array
+        if not check_shape(array.shape, self.shape):
+            raise ShapeError(
+                f"Invalid shape! expected shape {self.shape.prepared_args}, got shape {array.shape}"
+            )
+        return array
+
+    def after_validation(self, array: NDArrayType) -> T:
+        """
+        Optional step post-validation that coerces the intermediate array type into the return type
+
+        Default method is a no-op
+        """
+        return array
+
+    @classmethod
+    @abstractmethod
+    def check(cls, array: Any) -> bool:
+        """
+        Method to check whether a given input applies to this interface
+        """
+
+    @classmethod
+    @abstractmethod
+    def enabled(cls) -> bool:
+        """
+        Check whether this array interface can be used (eg. its dependent packages are installed, etc.)
+        """
+
+    @classmethod
+    def interfaces(cls) -> Tuple[Type["Interface"], ...]:
+        """
+        Enabled interface subclasses
+        """
+        return tuple(
+            sorted(
+                [i for i in Interface.__subclasses__() if i.enabled()],
+                key=attrgetter("priority"),
+                reverse=True,
+            )
+        )
+
+    @classmethod
+    def array_types(cls) -> Tuple[NDArrayType, ...]:
+        """Return types for all enabled interfaces"""
+        return tuple([i.return_type for i in cls.interfaces()])
+
+    @classmethod
+    def match(cls, array: Any) -> Type["Interface"]:
+        """
+        Find the interface that should be used for this array
+        """
+        matches = [i for i in cls.interfaces() if i.check(array)]
+        if len(matches) > 1:
+            msg = f"More than one interface matches input {array}:\n"
+            msg += "\n".join([f"  - {i}" for i in matches])
+            raise ValueError(msg)
+        elif len(matches) == 0:
+            raise ValueError(f"No matching interfaces found for input {array}")
+        else:
+            return matches[0]
diff --git a/src/numpydantic/interface/numpy.py b/src/numpydantic/interface/numpy.py
new file mode 100644
index 0000000..5bea417
--- /dev/null
+++ b/src/numpydantic/interface/numpy.py
@@ -0,0 +1,45 @@
+from typing import Any
+
+from numpydantic.interface.interface import Interface
+
+try:
+    from numpy import ndarray
+
+    ENABLED = True
+
+except ImportError:
+    ENABLED = False
+    ndarray = None
+
+
+class NumpyInterface(Interface):
+    """
+    Numpy :class:`~numpy.ndarray` s!
+    """
+
+    return_type = ndarray
+
+    @classmethod
+    def check(cls, array: Any) -> bool:
+        """Check that this is in fact a numpy ndarray or something that can be coerced to one"""
+        if isinstance(array, ndarray):
+            return True
+        else:
+            try:
+                _ = ndarray(array)
+                return True
+            except TypeError:
+                return False
+
+    def before_validation(self, array: Any) -> ndarray:
+        """
+        Coerce to an ndarray. We have already checked if coercion is possible in :meth:`.check`
+        """
+        if not isinstance(array, ndarray):
+            array = ndarray(array)
+        return array
+
+    @classmethod
+    def enabled(cls) -> bool:
+        """Check that numpy is present in the environment"""
+        return ENABLED
diff --git a/src/numpydantic/interface/xarray.py b/src/numpydantic/interface/xarray.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/numpydantic/interface/zarr.py b/src/numpydantic/interface/zarr.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/numpydantic/meta.py b/src/numpydantic/meta.py
new file mode 100644
index 0000000..27e242d
--- /dev/null
+++ b/src/numpydantic/meta.py
@@ -0,0 +1,39 @@
+"""
+Metaprogramming functions for numpydantic to modify itself :)
+"""
+
+from pathlib import Path
+
+from numpydantic.interface import Interface
+
+
+def generate_ndarray_stub() -> str:
+    """
+    Make a stub file based on the array interfaces that are available
+    """
+
+    import_strings = [
+        f"from {arr.__module__} import {arr.__name__}"
+        for arr in Interface.array_types()
+    ]
+    import_string = "\n".join(import_strings)
+
+    class_names = [arr.__name__ for arr in Interface.array_types()]
+    class_union = " | ".join(class_names)
+    ndarray_type = "NDArray = " + class_union
+
+    stub_string = "\n".join([import_string, ndarray_type])
+    return stub_string
+
+
+def update_ndarray_stub() -> None:
+    """
+    Update the ndarray.pyi string in the numpydantic file
+    """
+    from numpydantic import ndarray
+
+    stub_string = generate_ndarray_stub()
+
+    pyi_file = Path(ndarray.__file__).with_suffix(".pyi")
+    with open(pyi_file, "w") as pyi:
+        pyi.write(stub_string)
diff --git a/src/numpydantic/ndarray.py b/src/numpydantic/ndarray.py
index 57cc46b..f4d51ee 100644
--- a/src/numpydantic/ndarray.py
+++ b/src/numpydantic/ndarray.py
@@ -8,14 +8,11 @@ import base64
 import sys
 from collections.abc import Callable
 from copy import copy
-from typing import Any
+from typing import Any, Tuple, TypeVar, cast, Union
 
 import blosc2
 import nptyping.structure
 import numpy as np
-
-# TODO: conditional import of dask, remove from required dependencies
-from dask.array.core import Array as DaskArray
 from nptyping import Shape
 from nptyping.ndarray import NDArrayMeta as _NDArrayMeta
 from nptyping.nptyping_type import NPTypingType
@@ -23,9 +20,11 @@ from nptyping.shape_expression import check_shape
 from pydantic_core import core_schema
 from pydantic_core.core_schema import ListSchema
 
+from numpydantic.interface import Interface
 from numpydantic.maps import np_to_python
 
-from numpydantic.proxy import NDArrayProxy
+# from numpydantic.proxy import NDArrayProxy
+from numpydantic.types import DtypeType, NDArrayType, ShapeType
 
 COMPRESSION_THRESHOLD = 16 * 1024
 """
@@ -33,8 +32,6 @@ Arrays larger than this size (in bytes) will be compressed and b64 encoded when
 serializing to JSON.
 """
 
-ARRAY_TYPES = np.ndarray | DaskArray | NDArrayProxy
-
 
 def list_of_lists_schema(shape: Shape, array_type_handler: dict) -> ListSchema:
     """Make a pydantic JSON schema for an array as a list of lists."""
@@ -68,7 +65,7 @@ def list_of_lists_schema(shape: Shape, array_type_handler: dict) -> ListSchema:
     return list_schema
 
 
-def jsonize_array(array: ARRAY_TYPES) -> list | dict:
+def jsonize_array(array: NDArrayType) -> list | dict:
     """
     Render an array to base python types that can be serialized to JSON
 
@@ -80,12 +77,13 @@ def jsonize_array(array: ARRAY_TYPES) -> list | dict:
     Args:
         array (:class:`np.ndarray`, :class:`dask.DaskArray`): Array to render as a list!
     """
-    if isinstance(array, DaskArray):
-        arr = array.__array__()
-    elif isinstance(array, NDArrayProxy):
-        arr = array[:]
-    else:
-        arr = array
+    # if isinstance(array, DaskArray):
+    #    arr = array.__array__()
+    # elif isinstance(array, NDArrayProxy):
+    #    arr = array[:]
+    # else:
+    #    arr = array
+    arr = array
 
     # If we're larger than 16kB then compress array!
     if sys.getsizeof(arr) > COMPRESSION_THRESHOLD:
@@ -117,21 +115,18 @@ def get_validate_shape(shape: Shape) -> Callable:
     return validate_shape
 
 
-def get_validate_dtype(dtype: np.dtype) -> Callable:
+def get_validate_interface(shape: ShapeType, dtype: DtypeType) -> Callable:
     """
-    Get a closure around a dtype validation function that includes the dtype definition
+    Validate using a matching :class:`.Interface` class using its :meth:`.Interface.validate` method
     """
 
-    def validate_dtype(value: np.ndarray) -> np.ndarray:
-        if dtype is Any:
-            return value
-
-        assert (
-            value.dtype == dtype
-        ), f"Invalid dtype! expected {dtype}, got {value.dtype}"
+    def validate_interface(value: Any, info) -> NDArrayType:
+        interface_cls = Interface.match(value)
+        interface = interface_cls(shape, dtype)
+        value = interface.validate(value)
         return value
 
-    return validate_dtype
+    return validate_interface
 
 
 def coerce_list(value: Any) -> np.ndarray:
@@ -152,6 +147,9 @@ class NDArrayMeta(_NDArrayMeta, implementation="NDArray"):
     """
 
 
+T = TypeVar("T")
+
+
 class NDArray(NPTypingType, metaclass=NDArrayMeta):
     """
     Constrained array type allowing npytyping syntax for dtype and shape validation and serialization.
@@ -167,7 +165,10 @@ class NDArray(NPTypingType, metaclass=NDArrayMeta):
         - https://docs.pydantic.dev/latest/usage/types/custom/#handling-third-party-types
     """
 
-    __args__ = (Any, Any)
+    def __init__(self: T):
+        pass
+
+    __args__: Tuple[ShapeType, DtypeType] = (Any, Any)
 
     @classmethod
     def __get_pydantic_core_schema__(
@@ -176,6 +177,8 @@ class NDArray(NPTypingType, metaclass=NDArrayMeta):
         _handler: Callable[[Any], core_schema.CoreSchema],
     ) -> core_schema.CoreSchema:
         shape, dtype = _source_type.__args__
+        shape: ShapeType
+        dtype: DtypeType
 
         # get pydantic core schema for the given specified type
         if isinstance(dtype, nptyping.structure.StructureMeta):
@@ -195,18 +198,8 @@ class NDArray(NPTypingType, metaclass=NDArrayMeta):
             python_schema=core_schema.chain_schema(
                 [
                     core_schema.no_info_plain_validator_function(coerce_list),
-                    core_schema.union_schema(
-                        [
-                            core_schema.is_instance_schema(cls=np.ndarray),
-                            core_schema.is_instance_schema(cls=DaskArray),
-                            core_schema.is_instance_schema(cls=NDArrayProxy),
-                        ]
-                    ),
-                    core_schema.no_info_plain_validator_function(
-                        get_validate_dtype(dtype)
-                    ),
-                    core_schema.no_info_plain_validator_function(
-                        get_validate_shape(shape)
+                    core_schema.with_info_plain_validator_function(
+                        get_validate_interface(shape, dtype)
                     ),
                 ]
             ),
@@ -214,3 +207,7 @@ class NDArray(NPTypingType, metaclass=NDArrayMeta):
                 jsonize_array, when_used="json"
             ),
         )
+
+
+NDArray = cast(Union[np.ndarray, list[int]], NDArray)
+# NDArray = cast(Union[Interface.array_types()], NDArray)
diff --git a/src/numpydantic/types.py b/src/numpydantic/types.py
new file mode 100644
index 0000000..a54d814
--- /dev/null
+++ b/src/numpydantic/types.py
@@ -0,0 +1,28 @@
+"""
+Types for numpydantic
+
+Note that these are types as in python typing types, not classes.
+"""
+
+from typing import Any, Protocol, Tuple, TypeVar, Union, runtime_checkable
+
+import numpy as np
+from nptyping import DType
+
+
+ShapeType = Tuple[int, ...] | Any
+DtypeType = np.dtype | str | type | Any | DType
+
+
+@runtime_checkable
+class NDArrayType(Protocol):
+
+    @property
+    def dtype(self) -> DtypeType: ...
+
+    @property
+    def shape(self) -> ShapeType: ...
+
+    def __getitem__(self, key: int | slice) -> "NDArrayType": ...
+
+    def __setitem__(self, key: int | slice, value: "NDArrayType"): ...
diff --git a/tests/test_meta.py b/tests/test_meta.py
new file mode 100644
index 0000000..6d143bd
--- /dev/null
+++ b/tests/test_meta.py
@@ -0,0 +1,29 @@
+import pytest
+
+from numpydantic import NDArray
+
+from typing import reveal_type
+
+
+@pytest.mark.skip("TODO")
+def test_generate_stub():
+    """
+    Test that we generate the stub file correctly...
+    """
+    pass
+
+
+@pytest.mark.skip("TODO")
+def test_update_stub():
+    """
+    Test that the update stub file correctly updates the stub stored in the package
+    """
+    pass
+
+
+@pytest.mark.skip("TODO")
+def test_stub_revealed_type():
+    """
+    Check that the revealed type matches the stub
+    """
+    type = reveal_type(NDArray)
diff --git a/tests/test_ndarray.py b/tests/test_ndarray.py
index 8baa118..61bbaa5 100644
--- a/tests/test_ndarray.py
+++ b/tests/test_ndarray.py
@@ -8,7 +8,7 @@ from pydantic import BaseModel, ValidationError, Field
 from nptyping import Shape, Number
 
 from numpydantic import NDArray
-from numpydantic.proxy import NDArrayProxy
+from numpydantic.exceptions import ShapeError, DtypeError
 
 
 # from .fixtures import tmp_output_dir_func
@@ -33,7 +33,7 @@ def test_ndarray_type():
     with pytest.raises(ValidationError):
         instance = Model(array=np.zeros((4, 6)))
 
-    with pytest.raises(ValidationError):
+    with pytest.raises(DtypeError):
         instance = Model(array=np.ones((2, 3), dtype=bool))
 
     instance = Model(array=np.zeros((2, 3)), array_any=np.ones((3, 4, 5)))
@@ -77,7 +77,7 @@ def test_ndarray_coercion():
 
     amod = Model(array=[1, 2, 3, 4.5])
     assert np.allclose(amod.array, np.array([1, 2, 3, 4.5]))
-    with pytest.raises(ValidationError):
+    with pytest.raises(DtypeError):
         amod = Model(array=["a", "b", "c"])