Showing 4 open source projects for "anpr using python"

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  • 1
    alive-progress

    alive-progress

    A new kind of Progress Bar, with real-time throughput, ETA

    alive-progress is an advanced Python progress bar library that introduces a highly animated and adaptive approach to tracking long-running tasks. Unlike traditional static progress indicators, it dynamically adjusts spinner speed and visual feedback based on actual throughput, giving users a more intuitive sense of activity. The library is designed with performance efficiency in mind, using multithreaded updates that minimize CPU overhead and terminal noise.
    Downloads: 0 This Week
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  • 2
    Mail-in-a-Box

    Mail-in-a-Box

    Take back control of your email with this mail server in a box

    Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server, a mail server in a box. Mail-in-a-Box lets you become your own mail service provider in a few easy steps. It’s sort of like making your own gmail, but one you control from top to bottom. Technically, Mail-in-a-Box turns a fresh cloud computer into a working mail server. But you don’t need to be a technology expert to set it up. Our goals are to make deploying...
    Downloads: 2 This Week
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  • 3
    FileSentinel

    FileSentinel

    Simple Python file integrity checker for defensive security

    FileSentinel is an open-source Python tool that helps users monitor folders for unexpected file changes. It creates a baseline using SHA-256 hashes and later compares the folder against that baseline to detect added, modified, and deleted files. It is designed as a beginner-friendly defensive security utility for students, small offices, and anyone learning basic file integrity monitoring.
    Downloads: 2 This Week
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  • 4
    Flower

    Flower

    Real-time monitor and web admin for Celery distributed task queue

    ...Flower also supports broker monitoring and integrates with authentication providers and Prometheus for metrics export, making it suitable for production environments. The tool communicates with Celery using event streams, allowing near real-time updates on asynchronous workloads. Because Celery is widely used in Python microservices and background job systems, Flower has become a standard companion utility for teams that need operational insight and control over distributed task processing.
    Downloads: 0 This Week
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