Showing 4 open source projects for "sql server for python"

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  • 1
    JobScheduler

    JobScheduler

    JobScheduler workload automation to execute jobs and workflows

    JS7 JobScheduler runs executables, scripts and database procedures and can be operated with e.g. MySQL, PostgreSQL, SQL Server, Oracle databases. JS7 JobScheduler provides workflow patterns such as sequential and parallel task execution, forking, synchronization, cross-platform scheduling, job load sharing, fail-over and a real REST API. JS7 includes the components: * JOC Cockpit (user interface for inventory management and control) * Controller (orchestration of Agents) * Agents: platform independent Agents for job execution Product Knowledge Base at https://kb.sos-berlin.com/display/JS7 Change Management System at https://change.sos-berlin.com Release Archive at: https://www.sos-berlin.com/jobscheduler-release-archive
    Downloads: 30 This Week
    Last Update:
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  • 2

    Oddjob

    Java Job Scheduling and Task Automation

    A flexible job scheduler for the distributed environment. Schedule a job on any server - from any server. Create dependencies and trigger alerts across the network. Monitor and control it all from your desktop.
    Downloads: 0 This Week
    Last Update:
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  • 3
    DontWaitUp

    DontWaitUp

    DontWaitUp: do something else while your PC is completing a job

    DontWaitUp catches windows which close, change name or are resized in order to understand when a process has completed and then do an action like shut down, restart, sleep, hibernate, play an alarm sound, show a notification or run whatever command you need to run.
    Downloads: 0 This Week
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  • 4
    giServer

    giServer

    giServer the easy to use and extensible batch and integration server

    The giServer is an easy-to-use integration server for process automation and event-driven or scheduled execution of batch jobs. Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records
    Downloads: 0 This Week
    Last Update:
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