4 projects for "ai made in python" with 2 filters applied:

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  • 1
    AgentGuard

    AgentGuard

    AgentGuard is a firewall for AI agents

    AgentGuard is a real-time protection layer designed to safeguard AI agents and applications from runaway execution, excessive costs, and unsafe behavior during interaction with large language model APIs. It works by intercepting API calls made by an AI system and continuously monitoring usage, including token consumption and associated costs, allowing developers to enforce strict budget limits. When predefined thresholds are reached, the system can automatically halt execution, trigger alerts, or gracefully terminate processes depending on the configured mode. ...
    Downloads: 3 This Week
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  • 2
    Zenoss Community Edition

    Zenoss Community Edition

    Zenoss - Intelligent IT Operations Management

    Zenoss provides software-defined IT operations for the world’s largest organizations. We deliver the ultimate level of IT service health with simplicity by providing the most granular and intelligent IT service modeling possible, at any scale, and sharing these unique insights with other IT operations management (ITOM) tools to make them more efficient. Zenoss Community Edition is not a “demo” or trial version of Zenoss Enterprise or Zenoss Cloud! Before You install Zenoss Community...
    Downloads: 18 This Week
    Last Update:
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  • 3
    BandwidthD-IPv6

    BandwidthD-IPv6

    Collects data about network useage using libpcap.

    Based off of bandwidthd (http://sourceforge.net/projects/bandwidthd) but updated to support large networks (13,000+ devices). IPv6 support is in the works. Our thanks goes to the original authors of bandwidthd who made this possible.
    Downloads: 0 This Week
    Last Update:
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  • 4
    minder

    minder

    Monitoring your infrastructure for free.

    This software presents a flexible and configurable proposal for monitoring and management of real and virtual HPC infrastructures, compatible with paradigm of cloud computing. We help you to answer: 1) What is the performance of my resources? 2) What equipment and resources do we have already? 3) What do we need to upgrade or repair? 4) What can we consolidate to reduce complexity or reduce energy use? 5) What resources would be better reused somewhere else? Status: PreAlpha, so...
    Downloads: 0 This Week
    Last Update:
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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