diff --git a/devel/Makefile b/devel/Makefile
index 7ab7ff9a8c547..f8705a60af60d 100644
--- a/devel/Makefile
+++ b/devel/Makefile
@@ -5417,6 +5417,7 @@
     SUBDIR += py-sniffio
     SUBDIR += py-sortedcontainers
     SUBDIR += py-sourcemap
+    SUBDIR += py-sparse
     SUBDIR += py-speaklater
     SUBDIR += py-speg
     SUBDIR += py-spyder-kernels
diff --git a/devel/py-sparse/Makefile b/devel/py-sparse/Makefile
new file mode 100644
index 0000000000000..13118fe94aede
--- /dev/null
+++ b/devel/py-sparse/Makefile
@@ -0,0 +1,23 @@
+PORTNAME=	sparse
+PORTVERSION=	0.13.0
+CATEGORIES=	devel python
+MASTER_SITES=	PYPI
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	sunpoet@FreeBSD.org
+COMMENT=	Sparse n-dimensional arrays
+WWW=		https://github.com/pydata/sparse
+
+LICENSE=	BSD3CLAUSE
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numba>=0.49:devel/py-numba@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}numpy>=1.17,1:math/py-numpy@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}scipy>=0.19:science/py-scipy@${PY_FLAVOR}
+
+USES=		python:3.6+
+USE_PYTHON=	autoplist concurrent distutils
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>
diff --git a/devel/py-sparse/distinfo b/devel/py-sparse/distinfo
new file mode 100644
index 0000000000000..f3186ff56c136
--- /dev/null
+++ b/devel/py-sparse/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1675190915
+SHA256 (sparse-0.13.0.tar.gz) = 685dc994aa770ee1b23f2d5392819c8429f27958771f8dceb2c4fb80210d5915
+SIZE (sparse-0.13.0.tar.gz) = 349320
diff --git a/devel/py-sparse/pkg-descr b/devel/py-sparse/pkg-descr
new file mode 100644
index 0000000000000..ae3423224579f
--- /dev/null
+++ b/devel/py-sparse/pkg-descr
@@ -0,0 +1,13 @@
+This implements sparse arrays of arbitrary dimension on top of numpy and
+scipy.sparse. It generalizes the scipy.sparse.coo_matrix and
+scipy.sparse.dok_matrix layouts, but extends beyond just rows and columns to an
+arbitrary number of dimensions.
+
+Additionally, this project maintains compatibility with the numpy.ndarray
+interface rather than the numpy.matrix interface used in scipy.sparse
+
+These differences make this project useful in certain situations where
+scipy.sparse matrices are not well suited, but it should not be considered a
+full replacement. The data structures in pydata/sparse complement and can be
+used in conjunction with the fast linear algebra routines inside scipy.sparse. A
+format conversion or copy may be required.