Showing 4 open source projects for "ingest"

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  • 1
    Phoenix

    Phoenix

    Uncover insights, surface problems, monitor, and fine tune your LLM

    Phoenix provides ML insights at lightning speed with zero-config observability for model drift, performance, and data quality. Phoenix is an Open Source ML Observability library designed for the Notebook. The toolset is designed to ingest model inference data for LLMs, CV, NLP and tabular datasets. It allows Data Scientists to quickly visualize their model data, monitor performance, track down issues & insights, and easily export to improve. Deep Learning Models (CV, LLM, and Generative...
    Downloads: 3 This Week
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  • 2
    Lago

    Lago

    Open Source Metering and Usage Based Billing API

    Lago offers a self-hosted and cloud, scalable and modular architecture for metering and usage-based billing, at every stage of your company. Ingest up to 15,000 billing events per second. Lago’s event-based architecture provides a solid foundation for building a fair pricing model that scales with your business. Lago supports all pricing models. Create pay-as-you-go and hybrid plans in no time with our intuitive user interface or API. Create engaging marketing campaigns and increase conversion...
    Downloads: 0 This Week
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  • 3
    DVA-Profession

    DVA-Profession

    Mass video digitization workflow management for archiving

    Professional digital video archiving system solution, developed and used by the Austrian national audio/video archive, designed to handle vast amounts of video content from ingest to long-term storage, including analysis, transcoding and metadata.
    Downloads: 0 This Week
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  • 4
    StreamAlert

    StreamAlert

    StreamAlert is a serverless, realtime data analysis framework

    StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries...
    Downloads: 0 This Week
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    Automated RMM Tools | RMM Software

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