Showing 4 open source projects for "python dashboard"

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  • Workable Hiring Software - Hire The Best People, Fast Icon
    Workable Hiring Software - Hire The Best People, Fast

    Find the best candidates with the best recruitment software

    Workable is the preferred software for today's recruiting industry and HR teams, trusted by over 6,000 companies to streamline their hiring processes. Finding the right person for the job has never been easier—users now possess the ability to manage multiple hiring pipelines at once, from posting a job to sourcing candidates. Workable is also seamlessly integrated between desktop and mobile, allowing admins full control and flexibility all in the ATS without needing additional software.
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  • DialedIn: Cloud Contact Center Software Icon
    DialedIn: Cloud Contact Center Software

    Cloud Based Contact Center Software that Drives Success

    DialedIn is a modern call center software designed to transform customer interactions and streamline your operations, helping teams achieve more daily. By automating and optimizing key workflows across inbound, outbound, and blended environments, DialedIn helps you boost agent productivity and deliver better outcomes across every call.
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  • 1
    Grafana

    Grafana

    Leading open-source visualization and observability platform

    Grafana OSS is the leading open-source platform for visualization and observability. It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich...
    Downloads: 28 This Week
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  • 2
    Rockstor

    Rockstor

    BTRFS based NAS and private cloud storage solution

    Rockstor is a Network Attached Storage (NAS) and private cloud storage solution based on advanced Linux technologies like BTRFS, Docker and others. In addition to standard NAS features like file sharing via NFS, Samba, SFTP and AFP, advanced features such as online volume management, CoW Snapshots, asynchronous replication, compression, and bitrot protection are supported based on BTRFS. Rockstor also provides apps like ownCloud, Syncthing, OpenVPN, and Plex to name a few. Apps or...
    Downloads: 48 This Week
    Last Update:
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  • 3
    PC_Workman_HCK

    PC_Workman_HCK

    AI-powered PC monitoring that explains. Not shows numbers/spikes.

    PC_Workman is what 680 hours of coding after warehouse shifts looks like. Built on a laptop hitting 94°C, this AI-powered monitoring tool does what Task Manager can't: it understands your system, not just measures it. Features: - Time travel monitoring - debug issues from hours ago - AI diagnostics with HCK_GPT - Custom fan curves with profiles - Floating always-on-top widget - 2D system map - Cross-GPU support (NVIDIA/AMD/Intel) Four complete rebuilds. 29 features killed....
    Downloads: 3 This Week
    Last Update:
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  • 4
    Free Queue Manager

    Free Queue Manager

    Web based python-flask Queue management system

    A web based management system developed for the purpose of easing the process of orgnizing queues and lines. Like many other (QMS)s Queue Management Systems, FQM does provide a basic dashboard to allow the users of the system and customers alike to interact with the system via a basic yet simple user interface . Brief user guide can be found on https://fqms.github.io/images/user_guide.pdf
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    Downloads: 10 This Week
    Last Update:
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  • Raima Database Manager is an embedded in-memory database for IoT and Edge devices Icon
    Raima Database Manager is an embedded in-memory database for IoT and Edge devices

    Built by Developers, for Developers

    Raima Database Manager (RDM) is an embedded relational database optimized to run on resource-constrained IoT edge devices that require real-time response. RDM enables intelligent decisions to be made at the device level within microseconds.
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