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PRTG Catches Network Issues Before They Cause Downtime
Threshold-based alerts flag problems early, so your team can act before users notice, not after.
Reactive troubleshooting usually means hearing about a problem from frustrated users, not your monitoring tool. PRTG sets threshold-based alerts across devices, servers and applications, notifying your team by email, SMS or push the moment a metric crosses a set limit. That means catching a failing disk or overloaded server before it becomes an outage and getting time back from firefighting. Start a free trial and set your first alerts today.
A file format for exchanging computational models in systems biology
The Systems Biology Markup Language (SBML) is an XML-based description language for representing computational models in systems biology. Visit the project web site to learn more.
EXMARaLDA stands for "Extensible Markup Language for Discourse Annotation". It's a system of concepts, data formats and tools for the computer assisted transcription and annotation of spoken language, and the analysis of spoken language corpora. This project's source code has moved to https://github.com/Exmaralda-Org/exmaralda
The development and curation of a range of XML-based tools
for using Chemical Markup Language (CML), including
XSD XML Schemas for validation, datatyping and constraining CML
documents and XSLT Stylesheets for transforming, filtering and rendering.
Annotated Gel Markup Language is a simple markup language that is being proposed to markup data obtained by 2D gel electrophorosis.The goal of AGML is to enable proteomics research move into the browsing mode of searching through existing databases.
Transform your applications and workflows into powerful agentic systems at global scale.
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
LearnML is a XML based markup language to put learning materials in the web.
Based on a simple syntax, LearnML documents can be transformed to any kind of web page (HTML, XHTML) or (printable) PDF document.