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Index: benchmarks/naarad/Makefile
===================================================================
--- /dev/null
+++ benchmarks/naarad/Makefile
@@ -0,0 +1,24 @@
+# $FreeBSD$
+
+PORTNAME= naarad
+PORTVERSION= 1.0.15
+DISTVERSIONPREFIX= v
+CATEGORIES= benchmarks python
+
+MAINTAINER= araujo@FreeBSD.org
+COMMENT= Framework for performance analysis
+
+LICENSE= APACHE20
+
+RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.7.0:${PORTSDIR}/math/py-numpy \
+ ${PYTHON_PKGNAMEPREFIX}argparse>0:${PORTSDIR}/devel/py-argparse \
+ ${PYTHON_PKGNAMEPREFIX}pytz>=2013.8:${PORTSDIR}/devel/py-pytz \
+ ${PYTHON_PKGNAMEPREFIX}Jinja2>0:${PORTSDIR}/devel/py-Jinja2 \
+ luminol>0:${PORTSDIR}/math/py-luminol
+
+USES= python
+USE_PYTHON= autoplist distutils
+USE_GITHUB= yes
+GH_ACCOUNT= linkedin
+
+.include <bsd.port.mk>
Index: benchmarks/naarad/distinfo
===================================================================
--- /dev/null
+++ benchmarks/naarad/distinfo
@@ -0,0 +1,2 @@
+SHA256 (linkedin-naarad-v1.0.15_GH0.tar.gz) = e943f3f3973bd25bd058a3ca49a1efe1d69a6bc9ae38227c2779002e89f0dfec
+SIZE (linkedin-naarad-v1.0.15_GH0.tar.gz) = 4295132
Index: benchmarks/naarad/pkg-descr
===================================================================
--- /dev/null
+++ benchmarks/naarad/pkg-descr
@@ -0,0 +1,4 @@
+Naarad is a framework for performance analysis & rating of sharded &
+stateful services.
+
+WWW: https://github.com/linkedin/naarad
Index: benchmarks/zopkio/Makefile
===================================================================
--- /dev/null
+++ benchmarks/zopkio/Makefile
@@ -0,0 +1,22 @@
+# $FreeBSD$
+
+PORTNAME= zopkio
+PORTVERSION= 0.2.5
+CATEGORIES= benchmarks python
+
+MAINTAINER= araujo@FreeBSD.org
+COMMENT= Functional and Performance Test Framework
+
+LICENSE= APACHE20
+
+RUN_DEPENDS= naarad:${PORTSDIR}/benchmarks/naarad \
+ ${PYTHON_PKGNAMEPREFIX}dateutil>0:${PORTSDIR}/devel/py-dateutil \
+ ${PYTHON_PKGNAMEPREFIX}junit-xml>0:${PORTSDIR}/textproc/py-junit-xml
+
+WRKSRC= ${WRKDIR}/Zopkio-${PORTVERSION}
+USES= python
+USE_PYTHON= autoplist distutils
+USE_GITHUB= yes
+GH_ACCOUNT= linkedin
+
+.include <bsd.port.mk>
Index: benchmarks/zopkio/distinfo
===================================================================
--- /dev/null
+++ benchmarks/zopkio/distinfo
@@ -0,0 +1,2 @@
+SHA256 (linkedin-zopkio-0.2.5_GH0.tar.gz) = e33009e558e6c8cc2c04d8bdacc3bec27a5c14346692146f7896fc0cb45233c4
+SIZE (linkedin-zopkio-0.2.5_GH0.tar.gz) = 2422419
Index: benchmarks/zopkio/pkg-descr
===================================================================
--- /dev/null
+++ benchmarks/zopkio/pkg-descr
@@ -0,0 +1,4 @@
+Zopkio is a test framework built to support at scale performance and
+functional testing.
+
+WWW: https://github.com/linkedin/Zopkio
Index: math/py-luminol/Makefile
===================================================================
--- /dev/null
+++ math/py-luminol/Makefile
@@ -0,0 +1,21 @@
+# $FreeBSD$
+
+PORTNAME= luminol
+PORTVERSION= 0.3.1
+DISTVERSIONPREFIX= v
+CATEGORIES= math python
+
+MAINTAINER= araujo@FreeBSD.org
+COMMENT= Light weight python library for time series data analysis
+
+LICENSE= APACHE20
+
+RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>0:${PORTSDIR}/science/py-scipy \
+ ${PYTHON_PKGNAMEPREFIX}numpy>=1.6.2:${PORTSDIR}/math/py-numpy
+
+USES= python
+USE_PYTHON= autoplist distutils
+USE_GITHUB= yes
+GH_ACCOUNT= linkedin
+
+.include <bsd.port.mk>
Index: math/py-luminol/distinfo
===================================================================
--- /dev/null
+++ math/py-luminol/distinfo
@@ -0,0 +1,2 @@
+SHA256 (linkedin-luminol-v0.3.1_GH0.tar.gz) = 31c2c5697dffa0e4b9c3468189b2a4f25e5dd2c59ee351f51fdbf5a770fe8c7b
+SIZE (linkedin-luminol-v0.3.1_GH0.tar.gz) = 141854
Index: math/py-luminol/pkg-descr
===================================================================
--- /dev/null
+++ math/py-luminol/pkg-descr
@@ -0,0 +1,5 @@
+Luminol is a light weight python library for time series data analysis.
+The two major functionalities it supports are anomaly detection and
+correlation. It can be used to investigate possible causes of anomaly.
+
+WWW: https://github.com/linkedin/luminol

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