diff --git a/science/py-pyscf/Makefile b/science/py-pyscf/Makefile
index 10025fc36f73..9868b9f9bd1a 100644
--- a/science/py-pyscf/Makefile
+++ b/science/py-pyscf/Makefile
@@ -1,44 +1,44 @@
 PORTNAME=	pyscf
 DISTVERSIONPREFIX=	v
 DISTVERSION=	2.1.0
 PORTREVISION=	1
 CATEGORIES=	science python
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 
 MAINTAINER=	yuri@FreeBSD.org
 COMMENT=	Python module for quantum chemistry
-WWW=		https://pypi.org/project/pyscf/
+WWW=		https://pyscf.org/
 
 LICENSE=	BSD2CLAUSE
 LICENSE_FILE=	${WRKSRC}/LICENSE
 
 PY_DEPENDS=	${PYNUMPY} \
 		${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR} \
 		${PYTHON_PKGNAMEPREFIX}h5py>=2.7:science/py-h5py@${PY_FLAVOR}
 BUILD_DEPENDS=	${PY_DEPENDS} \
 		cmake:devel/cmake-core \
 		gmake:devel/gmake
 LIB_DEPENDS=	libcint.so:science/libcint \
 		libxc.so:science/libxc \
 		libxcfun.so:science/xcfun
 RUN_DEPENDS=	${PY_DEPENDS}
 
 USES=		fortran blaslapack:openblas compiler:c++11-lang python
 USE_PYTHON=	distutils autoplist pytest
 USE_GITHUB=	yes
 
 POST_PLIST=	fix-plist
 
 TEST_ENV=	${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR}
 
 post-install:
 	@${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/pyscf/lib/lib*.so
 
 fix-plist:
 	@${REINPLACE_CMD} -e 's|.*pyscf_lib_placeholder.so$$||' ${TMPPLIST}
 
 post-test:
 	@${ECHO} "==> simple test ..."
 	@${SETENV} ${TEST_ENV} ${PYTHON_CMD} ${FILESDIR}/test.py
 
 .include <bsd.port.mk>
diff --git a/science/py-pyscf/pkg-descr b/science/py-pyscf/pkg-descr
index 8627a972ce6e..10fe3ee39fd8 100644
--- a/science/py-pyscf/pkg-descr
+++ b/science/py-pyscf/pkg-descr
@@ -1,4 +1,11 @@
-PyMOL is a Python-enhanced molecular graphics tool. It excels at
-3D visualization of proteins, small molecules, density, surfaces,
-and trajectories. It also includes molecular editing, ray tracing,
-and movies. Open Source PyMOL is free to everyone!
+The Python-based Simulations of Chemistry Framework (PySCF) is an open-source
+collection of electronic structure modules powered by Python. The package
+provides a simple, lightweight, and efficient platform for quantum chemistry
+calculations and methodology development. PySCF can be used to simulate the
+properties of molecules, crystals, and custom Hamiltonians using mean-field
+and post-mean-field methods. To ensure ease of extensibility, almost all of
+the features in PySCF are implemented in Python, while computationally critical
+parts are implemented and optimized in C. Using this combined Python/C
+implementation, the package is as efficient as the best existing C or Fortran
+based quantum chemistry programs. In addition to its core libraries, PySCF
+supports a rich ecosystem of extension modules.