Showing 4 open source projects for "time tracking"

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  • 1
    teslamate

    teslamate

    A self-hosted data logger for your Tesla

    TeslaMate is an open-source self-hosted data logger that collects and visualizes data from Tesla vehicles in real time. It provides detailed insights into driving, charging, efficiency, and battery health through intuitive dashboards powered by Grafana. TeslaMate is ideal for Tesla owners who want full control of their vehicle data, avoid cloud reliance, and access rich analytics for personal tracking or troubleshooting.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Countly iOS SDK

    Countly iOS SDK

    Countly Product Analytics iOS SDK with macOS, watchOS and tvOS support

    Countly SDK for iOS is an analytics SDK for integrating real-time event tracking, user profiles, crash reporting, and push notifications into iOS apps. It provides detailed insights into user behavior and app performance.
    Downloads: 0 This Week
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  • 3
    FlowViewer

    FlowViewer

    FlowViewer is a web-based netflow data analysis tool.

    ...FlowViewer has been developed for NASA’s Earth Sciences Data and Information System (ESDIS) networks, and credit goes to NASA for their usual outstanding support of innovation. The FlowViewer tools provide additional graphing and tracking features by utilizing open source software including Thomas Boutrell’s gd, Lincoln Stein's GD, Martien Verbruggen's GD::Graph, and Tobias Oetiker’s RRDtool. FlowViewer v4.6 fixes non-UTC local time environments for FlowViewer and FlowGrapher, and $no_devices_or_exporters FlowMonitor_Collector problem. **Note: SiLK must be v3.8.0 or later. ...
    Downloads: 3 This Week
    Last Update:
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  • 4
    q pipeline manager

    q pipeline manager

    q: integrated platform for pipeline configuration and management

    ...It expands the value of your existing job scheduler - either Grid Engine or TORQUE PBS - through numerous functions that help you organize, submit, monitor, manage and share your informatics work. Data processing pipelines require high-level organization and parallelization of work to optimize resource utilization and decrease the time to results. q (from queue) allows complex job sequences to be efficiently assembled and managed, including dependency tracking, parallelization, and pipeline-level monitoring, error recovery, and data protection. Pipelines are constructed from modular script files, with job definitions and results stored in easily retrieved job files. ...
    Downloads: 0 This Week
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