diff --git a/graphics/Makefile b/graphics/Makefile
index 68659aade904..c6bf48a84b50 100644
--- a/graphics/Makefile
+++ b/graphics/Makefile
@@ -860,6 +860,7 @@
     SUBDIR += py-sorl-thumbnail
     SUBDIR += py-soya3d
     SUBDIR += py-stltools
+    SUBDIR += py-toyplot
     SUBDIR += py-wand
     SUBDIR += py-webcolors
     SUBDIR += py3-cairo
diff --git a/graphics/py-toyplot/Makefile b/graphics/py-toyplot/Makefile
new file mode 100644
index 000000000000..148b59ae0314
--- /dev/null
+++ b/graphics/py-toyplot/Makefile
@@ -0,0 +1,22 @@
+# Created by: Steven Kreuzer <skreuzer@FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME=	toyplot
+PORTVERSION=	0.6.0
+CATEGORIES=	graphics python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	skreuzer@FreeBSD.org
+COMMENT=	Modern plotting toolkit supporting electronic publishing
+
+LICENSE=	BSD3CLAUSE
+
+RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>=1.7:${PORTSDIR}/math/py-numpy \
+		${PYTHON_PKGNAMEPREFIX}colormath>=2.1.1:${PORTSDIR}/math/py-colormath \
+		${PYTHON_PKGNAMEPREFIX}multipledispatch>=0.4.7:${PORTSDIR}/devel/py-multipledispatch
+
+USES=		python
+USE_PYTHON=	autoplist distutils
+
+.include <bsd.port.mk>
diff --git a/graphics/py-toyplot/distinfo b/graphics/py-toyplot/distinfo
new file mode 100644
index 000000000000..223aa5db3024
--- /dev/null
+++ b/graphics/py-toyplot/distinfo
@@ -0,0 +1,2 @@
+SHA256 (toyplot-0.6.0.tar.gz) = e7e562f9c202c84d52f9be9f23568f9938f8e0334e15637c964e14f7f82bf6f9
+SIZE (toyplot-0.6.0.tar.gz) = 68113
diff --git a/graphics/py-toyplot/pkg-descr b/graphics/py-toyplot/pkg-descr
new file mode 100644
index 000000000000..e278ee8527f9
--- /dev/null
+++ b/graphics/py-toyplot/pkg-descr
@@ -0,0 +1,10 @@
+Toyplot is a kid-sized plotting toolkit for Python with grownup-sized goals:
+
+* Develop beautiful interactive, animated plots that embrace the unique
+  capabilities of electronic publishing and support repoducibility.
+* Create the best possible data graphics out-of-the-box, maximizing data ink
+  and minimizing chartjunk.
+* Provide a clean, minimalist interface that scientists and engineers will
+  love.
+
+WWW: https://pypi.python.org/pypi/toyplot