diff --git a/stubs/resampy/@tests/stubtest_allowlist.txt b/stubs/resampy/@tests/stubtest_allowlist.txt
new file mode 100644
index 000000000000..0f1a287ded50
--- /dev/null
+++ b/stubs/resampy/@tests/stubtest_allowlist.txt
@@ -0,0 +1,3 @@
+# The functions are part of the internal API.
+resampy.interpn.resample_f_p
+resampy.interpn.resample_f_s
diff --git a/stubs/resampy/METADATA.toml b/stubs/resampy/METADATA.toml
new file mode 100644
index 000000000000..fc703115ffa8
--- /dev/null
+++ b/stubs/resampy/METADATA.toml
@@ -0,0 +1,4 @@
+version = "0.4.*"
+upstream_repository = "https://github.com/bmcfee/resampy"
+# Requires a version of numpy with a `py.typed` file
+requires = ["numpy>=1.20"]
diff --git a/stubs/resampy/resampy/__init__.pyi b/stubs/resampy/resampy/__init__.pyi
new file mode 100644
index 000000000000..92d287f8a8fb
--- /dev/null
+++ b/stubs/resampy/resampy/__init__.pyi
@@ -0,0 +1,2 @@
+from . import filters as filters
+from .core import *
diff --git a/stubs/resampy/resampy/core.pyi b/stubs/resampy/resampy/core.pyi
new file mode 100644
index 000000000000..5d13c9ba241c
--- /dev/null
+++ b/stubs/resampy/resampy/core.pyi
@@ -0,0 +1,36 @@
+from collections.abc import Callable
+from typing import TypedDict, type_check_only
+from typing_extensions import TypeAlias, TypeVar, Unpack
+
+import numpy as np
+
+__all__ = ["resample", "resample_nu"]
+
+_FloatArray = TypeVar("_FloatArray", bound=np.ndarray[tuple[int, ...], np.dtype[np.floating]])
+
+_FilterType: TypeAlias = str | Callable[[int], np.ndarray[tuple[int], np.dtype[np.float64]]]
+
+@type_check_only
+class _FilterKwArgs(TypedDict, total=False):
+    num_zeros: int
+    precision: int
+    rolloff: float
+
+def resample(
+    x: _FloatArray,
+    sr_orig: float,
+    sr_new: float,
+    axis: int = -1,
+    filter: _FilterType = "kaiser_best",
+    parallel: bool = False,
+    **kwargs: Unpack[_FilterKwArgs],
+) -> _FloatArray: ...
+def resample_nu(
+    x: _FloatArray,
+    sr_orig: float,
+    t_out: _FloatArray,
+    axis: int = -1,
+    filter: _FilterType = "kaiser_best",
+    parallel: bool = False,
+    **kwargs: Unpack[_FilterKwArgs],
+) -> _FloatArray: ...
diff --git a/stubs/resampy/resampy/filters.pyi b/stubs/resampy/resampy/filters.pyi
new file mode 100644
index 000000000000..fc391dd0054a
--- /dev/null
+++ b/stubs/resampy/resampy/filters.pyi
@@ -0,0 +1,33 @@
+from collections.abc import Callable
+from typing import TypedDict, type_check_only
+from typing_extensions import TypeAlias, Unpack
+
+import numpy as np
+
+__all__ = ["get_filter", "clear_cache", "sinc_window"]
+
+# Dictionary to cache loaded filters
+FILTER_CACHE: dict[str, tuple[np.ndarray[tuple[int], np.dtype[np.float64]], int, float]]
+
+# List of filter functions available
+FILTER_FUNCTIONS: list[str]
+
+_FilterType: TypeAlias = str | Callable[[int], np.ndarray[tuple[int], np.dtype[np.float64]]]
+
+@type_check_only
+class _FilterKwArgs(TypedDict, total=False):
+    num_zeros: int
+    precision: int
+    rolloff: float
+
+def sinc_window(
+    num_zeros: int = 64,
+    precision: int = 9,
+    window: Callable[[int], np.ndarray[tuple[int], np.dtype[np.float64]]] | None = None,
+    rolloff: float = 0.945,
+) -> tuple[np.ndarray[tuple[int], np.dtype[np.float64]], int, float]: ...
+def get_filter(
+    name_or_function: _FilterType, **kwargs: Unpack[_FilterKwArgs]
+) -> tuple[np.ndarray[tuple[int], np.dtype[np.float64]], int, float]: ...
+def load_filter(filter_name: str) -> tuple[np.ndarray[tuple[int], np.dtype[np.float64]], int, float]: ...
+def clear_cache() -> None: ...
diff --git a/stubs/resampy/resampy/interpn.pyi b/stubs/resampy/resampy/interpn.pyi
new file mode 100644
index 000000000000..37c2f6a9c89a
--- /dev/null
+++ b/stubs/resampy/resampy/interpn.pyi
@@ -0,0 +1 @@
+# [This page intentionally left blank.]
diff --git a/stubs/resampy/resampy/version.pyi b/stubs/resampy/resampy/version.pyi
new file mode 100644
index 000000000000..24179934d795
--- /dev/null
+++ b/stubs/resampy/resampy/version.pyi
@@ -0,0 +1,4 @@
+from typing import Final
+
+short_version: Final[str]
+version: Final[str]