Showing 3 open source projects for "iot"

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  • Never Get Blocked Again | Enterprise Web Scraping Icon
    Never Get Blocked Again | Enterprise Web Scraping

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    Get unrestricted access to public web data with our ethically-sourced proxy network. Automated session management and advanced unblocking handle the hard parts. Scale from 1 to 1M requests with zero blocks. Built for developers with ready-to-use APIs, serverless functions, and complete documentation. Used by 20,000+ companies including Fortune 500s. SOC2 and GDPR compliant.
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    Save hundreds of developer hours with components built for SaaS applications.

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    GreptimeDB

    GreptimeDB

    An open-source, cloud-native, unified time series database for metrics

    GreptimeDB treats all time series as contextual events with timestamps, and thus unifies the processing of metrics, logs, and events. It supports analyzing metrics, logs, and events with SQL, PromQL, and streaming with continuous aggregation. GreptimeDB is a time-series database optimized for storing and querying large amounts of time-series data, commonly used in monitoring and IoT applications.
    Downloads: 0 This Week
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  • 2
    ReductStore

    ReductStore

    The fastest time series object store for Edge AI

    ... series, tailored for edge computing, computer vision, and IoT. ReductStore handles blob data without size limits; your disk capacity is the only boundary. Ensure optimal storage management with FIFO quotas, preventing disk space shortages in real-time. Manage your time-series blob data with ease: annotate, filter, and save AI labels or meta-data. Integrate and communicate with ReductStore using our feature-rich and secure API.
    Downloads: 0 This Week
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  • 3
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    ... frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.
    Downloads: 0 This Week
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