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Showing 4 open source projects for "control"
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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TurboVNC
High-speed, 3D-friendly, TightVNC-compatible remote desktop software
TurboVNC is a high-performance, enterprise-quality version of VNC based on TightVNC, TigerVNC, and X.org. It contains a variant of Tight encoding that is tuned for maximum performance and compression with 3D applications (VirtualGL), video, and other image-intensive workloads. TurboVNC, in combination with VirtualGL, provides a complete solution for remotely displaying 3D applications with interactive performance. TurboVNC's high-speed encoding methods have been adopted by TigerVNC and... -
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* Model-checking/simulation-checking library for real-time system with dense-time models in C with CRD (Clock-Restriction Diagrams) technology. * Parametric analysis library for linear-hybrid systems in C with HRD (Hybrid-Restriction Diagram) technol
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vMotion Detector
vMotion Detector for Linux & Windows Platforms
vMotion Detector is an application suite designed for Oracle OEM, Oracle Grid or Nagios that allows a Windows or Linux Guest VM detect when it has its Session ID modified due to an underlying DRS or HA clustered environment change. -
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NetCop is UTM, UTM Firewall, ClamAV Antivirus, Web Cache, Content Filter,IPS/IDS, WAN Link Manager, Bandwidth Manager, Anonymous Proxy Blocker, Wifi Hotspot Controller, SSL VPN, Network Virtulization in single ISO CD distribution.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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