diff --git a/math/adol-c/Makefile b/math/adol-c/Makefile
index 9253500bb230..d5c1ae42016a 100644
--- a/math/adol-c/Makefile
+++ b/math/adol-c/Makefile
@@ -1,37 +1,44 @@
 PORTNAME=	adol-c
 DISTVERSION=	2.7.2
-PORTREVISION=	1
+PORTREVISION=	2
 CATEGORIES=	math
 MASTER_SITES=	https://www.coin-or.org/download/source/${PORTNAME:tu}/
 DISTNAME=	${PORTNAME:tu}-${DISTVERSION}
 
 MAINTAINER=	yuri@FreeBSD.org
 COMMENT=	Automatic differentiation library
 
 LICENSE=	EPL
 LICENSE_FILE=	${WRKSRC}/LICENSE
 
 BUILD_DEPENDS=	bash:shells/bash
 LIB_DEPENDS=	libboost_system.so:devel/boost-libs
 
-USES=		compiler:c++11-lang gmake libtool python:3.7+,build tar:tgz
+USES=		compiler:c++11-lang gmake libtool tar:tgz
 USE_LDCONFIG=	yes
 
 GNU_CONFIGURE=	yes
 CONFIGURE_SHELL=	${LOCALBASE}/bin/bash
 
-CONFIGURE_ENV=	PYTHON=${PYTHON_CMD}
-
 INSTALL_TARGET=	install-strip
 
-OPTIONS_DEFINE=			SPARSE # also uses AMPI, a seemingly obscure MPI implementation
+BINARY_ALIAS=	swig=false
+
+OPTIONS_DEFINE=			PYTHON SPARSE # also uses AMPI, a seemingly obscure MPI implementation
 OPTIONS_DEFAULT=		SPARSE
 OPTIONS_SUB=			yes
 
+PYTHON_USES=			python:build
+PYTHON_CONFIGURE_ENV=		PYTHON=${PYTHON_CMD}
+PYTHON_BROKEN=			https://github.com/coin-or/ADOL-C/issues/42
+
 SPARSE_DESC=			Build sparse drivers
 SPARSE_CONFIGURE_ENABLE=	sparse
 
 post-patch: # broken with ColPack: https://github.com/coin-or/ADOL-C/issues/40
 	@${REINPLACE_CMD} -e 's|with_colpack|with_colpackx| ; s|-lColPack||' ${WRKSRC}/configure
 
+post-patch-PYTHON-off:
+	@${REINPLACE_CMD} -e 's|test x$$python_found = xyes|false \&\& &|' ${WRKSRC}/configure
+
 .include <bsd.port.mk>
diff --git a/math/adol-c/pkg-descr b/math/adol-c/pkg-descr
index 994376825b57..361823426fb2 100644
--- a/math/adol-c/pkg-descr
+++ b/math/adol-c/pkg-descr
@@ -1,11 +1,11 @@
 The package ADOL-C (Automatic Differentiation by OverLoading in C++) facilitates
 the evaluation of first and higher derivatives of vector functions that are
 defined by computer programs written in C or C++. The resulting derivative
 evaluation routines may be called from C/C++, Fortran, or any other language
 that can be linked with C.
 
 The numerical values of derivative vectors are obtained free of truncation
 errors at a small multiple of the run time and randomly accessed memory of the
 given function evaluation program.
 
-WWW: https://projects.coin-or.org/ADOL-C
+WWW: https://github.com/coin-or/ADOL-C