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.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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.
New customers can spin up VMs, build with AI, and query data at no cost.
Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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.
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.