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If you want to provide your own contrib module, please follow the instructions on the wiki page ProvideContribModules.
List of current optional contribution modules
Condor Quill
Quill stores job history data persistently in a database and allows Condor tools to query the database.
See: CondorQuill
Condor DBQ
Condor DBQ provides a relational database management system interface to Condor.
See: CondorDbq
Condor Pigeon
Pigeon allows queuing and forwarding of user log messages via AMQP. It consists of a broker and client tools.
See: CondorPigeon
Condor Aviary
An alternative SOAP API to Birdbath that uses WSO2 and Axis2/C.
See: CondorAviary
CondorAgent
An alternative API to the Condor scheduler based on a REST interface. CondorAgent is a program that runs beside a Condor scheduler. It provides enhanced access to scheduler-based data and scheduler actions via a HTTP-based REST interface. CondorAgent is deployed as either a shell script wrapped Python program (which requires Python 2.4 or greater) or as a Windows binary (which does not require a local Python installation).
See: https://github.com/cyclecomputing/condor-agent
Condor Plumage
A NoSQL operational data store framework that uses mongodb.
See: CondorPlumage
CondorLogViewer
Real-time visualization of events in the job event log.
See: CondorLogViewer
CondorView
A resource viewer.
See: CondorView
DMTCP/Condor Integration
DMTCP is a third part user space checkpointing library which, through a
shim script and extra information in one's submit description file, can
checkpoint vanilla universe jobs. See: DmtcpCondor
QMF management suite for Condor
QMF is a set of pluggable modules that assemble a suite for managing Condor jobs. It uses Apache Qpid for message transport
See: QmfSuite
QMF trigger daemon
This daemon raises QMF Events based upon user defined ClassAd queries.
See: QmfTriggerd
Stork
Stork is a batch scheduler specialized in data placement and data movement, which is based on the concept and ideal of making data placement a first class entity in a distributed computing environment.
See: http://www.storkproject.org
Remote Condor
Remote Condor allows a user to submit and monitor batch jobs through a remote instance of Condor from his or her computer without having to install Condor locally.
See: RemoteCondor
CL-MW: A Master/Slave Distributed Computing Library in Common Lisp
See: ClMw
HDFS
The Hadoop Distributed File System (HDFS) is a user space, distributed file system, maintained by the Apache project. The condor_hdfs daemon is a damon which manages the running of the java-based hdfs daemon.
See: HadoopDistributedFileSystemModule