Search Results for "networking monitoring source code"
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Showing 4 open source projects for "networking monitoring source code"
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The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Next-Gen Encryption for Post-Quantum Security | CLEAR by Quantum KnightCLEAR by Quantum Knight is a FIPS-140-3 validated encryption SDK engineered for enterprises requiring top-tier security. Offering robust post-quantum cryptography, CLEAR secures files, streaming media, databases, and networks with ease across over 30 modern platforms. Its compact design, smaller than a single smartphone image, ensures maximum efficiency and low energy consumption.
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MOBIDICK (MOdular But IntegrateD applICation frameworK) is dedicated to gather as less as possible Java frameworks in order to complete full needs of large business application and allow regeneration of code, even when java frameworks change.
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VisualMon is a concise dashboard for Java web applications, it shows statistics gathered by JAMon, reduced to the data relevant to the concrete web application and with a visually pleasant appearance.
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Nicaragua is going to be a web based "Nagios integrated configuration and administration console" especially used in large environments.
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This project extends the BlueJ Java IDE. It aims to add networking capabilities to the BlueJ interface through BlueJ's extensions API. Since BlueJ is most suited for teaching Java to new programmers this project will focus on teaching.
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SoftCo: Enterprise Invoice and P2P Automation SoftwareSoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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