} \
+		${PYTHON_PKGNAMEPREFIX}optax>0:math/py-optax@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}pytest>0:devel/py-pytest@${PY_FLAVOR}
+
+USES=		python
+USE_PYTHON=	pep517 autoplist
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>
diff --git a/misc/py-equinox/distinfo b/misc/py-equinox/distinfo
new file mode 100644
index 000000000000..622ebe2e57e1
--- /dev/null
+++ b/misc/py-equinox/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1767678494
+SHA256 (equinox-0.13.2.tar.gz) = 509ad744ff99b7c684d45230d6890f9e78eac1a556d7a06db1eff664a3cac74f
+SIZE (equinox-0.13.2.tar.gz) = 139386
diff --git a/misc/py-equinox/pkg-descr b/misc/py-equinox/pkg-descr
new file mode 100644
index 000000000000..4f8b1be8ee5f
--- /dev/null
+++ b/misc/py-equinox/pkg-descr
@@ -0,0 +1,12 @@
+JAX library for neural networks and PyTree manipulations.
+
+Equinox is a JAX library that provides everything you need that isn't already
+in core JAX:
+- neural networks (or more generally any model), with easy-to-use
+  PyTorch-like syntax;
+- filtered APIs for transformations;
+- useful PyTree manipulation routines;
+- advanced features like runtime errors;
+
+Equinox isn't a framework: everything you write in Equinox is compatible with
+anything else in JAX or the ecosystem.