Free diagnostic script reveals configuration issues, error patterns, and security risks. Instant HTML report.
Windows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
JNeuron is an analysis tool for multi-neuronal spike train analysis. The tool will allow scientists to organize their spike train data analysis into projects. The tool will implement standard spike train analysis algorithms and also datamining algorithms
Generate secure, production-grade apps that connect to your business data. Not just prototypes, but tools your team can actually deploy.
Build internal software that meets enterprise security standards without waiting on engineering resources. Retool connects to your databases, APIs, and data sources while maintaining the permissions and controls you need. Create custom dashboards, admin tools, and workflows from natural language prompts—all deployed in your cloud with security baked in. Stop duct-taping operations together, start building in Retool.
S.o.n.a.r. is an analysis- and visualization tool developed for the popular business network XING (www.xing.com).
Registered XING users can search for companies and contact their personnel manager or other decision makers, i.e. for a job application.
Teradata VantageCloud Enterprise is a data analytics platform for performing advanced analytics on AWS, Azure, and Google Cloud.
Power faster innovation with Teradata VantageCloud
VantageCloud is the complete cloud analytics and data platform, delivering harmonized data and Trusted AI for all. Built for performance, flexibility, and openness, VantageCloud enables organizations to unify diverse data sources, run complex analytics, and deploy AI models—all within a single, scalable platform.
RunAsApproximator es un programa java multilenguaje que implementa algoritmos numéricos. Los datos de entrada son aquellos requeridos por cada algoritmo y los de salida son resultado final y los datos intermedios necesarios para alcanzar su resolución.
A knowledgment management system written in Java under JBoss 4.2.3 Server, with richfaces 3.3.0BETA4. Including fileconversion from html to pdf and rich:editor component without special syntaxing.
Uechi APM Web Server Performance Monitor Open Source
Uechi APM Web is an APM (Application Performance Management) Open Source Server Performance Monitor written and developed in Java and C # for all Linux and Windows platforms. The Uechi.APM.Web offers a complete resource for unlimited monitoring servers in real time. Have full control of the CPU consumption, memory, disk and network traffic. Communication is done via TCP Protocol Socket connection.
More information, please visit: http://uechi.com.br/uechi-apm-web-eng/
The ROSE reasoner is used to for reasoning with RDFS ontologies and currently supports the RDF, RDFS and eRDFS entailment regimes.
An online demo of the RDFS Reasoner can be found here: http://tools.deri.org/rdfs-reasoner/
fedg extracts knowledge and relevant events in chinese texts to generate Feature Event Dependency Graph.FEDG is a knowledge representation model,meaningful for latent knowledge discovery and efficient reasoning.
Application to automatically merge gedcom files. It provides either a user or another program the ability to merge gedcom files with as little human interaction as possible and with high quality of matching results.
Interlogy - next generation knowledge storage and prezentation system. Gives wide functionality for knwoledge evaluation. Interlogy is the same as forum, wiki, chat, socialnetwork, but all together.
ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.
Obs-dm aims to provide a robust and reliable way to collect, analyze, and share observational data. It is being designed for extendability into other areas such as fisheries and habitat science.