Showing 4 open source projects for "python programming language"

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    Smart IT Monitoring

    We make IT management effective and simple. Easily observe your networks, servers, cloud services, containers, devices and applications.

    NetCrunch is a smart, agentless network monitoring and management software system capable of monitoring every device in a network. Developed by AdRem Software, NetCrunch helps businesses of all sizes remotely monitor network services, switches, routers, bandwidth utilization, and traffic flow and visualize their system performance.
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    Sage Intacct Cloud Accounting and Financial Management Software

    Cloud accounting, payroll, and HR that grows with you

    Drive your organization forward with the right solution at the right price. AI-powered continuous accounting and ERP to support your growth now and into the future.
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  • 1
    IPHPLog
    IPHPLog (IP PHP Log) is a simple software written in PHP, JS and SQL that runs over a MySQL database manager system . IPHPLog can log the information of your visitors and organize that on a data base with GeoIP.
    Downloads: 0 This Week
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  • 2
    Postfix Log Parser in Python is a log analysis tool written in python language to get statistic reports and detect anomalous behaviours on a mail server based on Postfix and Cyrus
    Downloads: 0 This Week
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  • 3
    Panoptis plans to create a network security tool (N-IDS) to detect and block DoS and DDoS attacks. The programming language is C++, and the input is being provided by routers.
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    Downloads: 7 This Week
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  • 4
    This project is an approach to automating the testing of performance properties of complex systems.Just like functional specs for software we aim to develop an executable language for asserting performance expectations of a program.This implements Sharon
    Downloads: 0 This Week
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  • Intelligent testing agents | Checksum.ai Icon
    Intelligent testing agents | Checksum.ai

    Checksum generates, runs, and maintains end-to-end tests automatically so your team ships with confidence as code output grows.

    Coding agents write the code. Checksum runs it—continuously testing against real APIs, real data, real edge cases—before it ever reaches production.
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