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Source: python-rrd
Section: python
Priority: optional
Maintainer: Matthias Urlichs <smurf@debian.org>
Build-Depends: debhelper (>= 4.1.67), librrd0-dev, python2.2-dev, python2.3-dev, python2.4-dev, python
Standards-Version: 3.6.0
Package: python-rrd
Architecture: all
Depends: ${python:Depends}
Description: Python bindings for RRD
RRD is the acronym for Round Robin Database. RRD is a system to store
and display time-series data (i.e. network bandwidth, machine-room
temperature, server load average). It stores the data in a very compact
way that will not expand over time, and it presents useful graphs by
processing the data to enforce a certain data density.
.
This package depends on the Python bindings for the current Python
version in Debian.
Package: python2.2-rrd
Architecture: any
Depends: ${shlibs:Depends}, ${python:Depends}
Description: Python bindings for RRD
RRD is the acronym for Round Robin Database. RRD is a system to store
and display time-series data (i.e. network bandwidth, machine-room
temperature, server load average). It stores the data in a very compact
way that will not expand over time, and it presents useful graphs by
processing the data to enforce a certain data density.
.
This package contains (simplistic but working) Python 2.2 bindings.
Package: python2.3-rrd
Architecture: any
Depends: ${shlibs:Depends}, ${python:Depends}
Description: Python bindings for RRD
RRD is the acronym for Round Robin Database. RRD is a system to store
and display time-series data (i.e. network bandwidth, machine-room
temperature, server load average). It stores the data in a very compact
way that will not expand over time, and it presents useful graphs by
processing the data to enforce a certain data density.
.
This package contains (simplistic but working) Python 2.3 bindings.
Package: python2.4-rrd
Architecture: any
Depends: ${shlibs:Depends}, ${python:Depends}
Description: Python bindings for RRD
RRD is the acronym for Round Robin Database. RRD is a system to store
and display time-series data (i.e. network bandwidth, machine-room
temperature, server load average). It stores the data in a very compact
way that will not expand over time, and it presents useful graphs by
processing the data to enforce a certain data density.
.
This package contains (simplistic but working) Python 2.4 bindings.
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