Remote Network Monitoring and Management for an IoT World
The Only RMM Solution You Need
Domotz is the premier Remote Network Monitoring and Management platform for IoT. We offer powerful network management software for MSP's, Integrators, Security Professionals, and Business Owners. Domotz enables the complete solution to cost-effectively manage and monitor your customers’ networks with plug and play setup, a friendly UX, and a comprehensive feature set, accessible from any desktop browser or mobile device. Utilize one interface to manage multiple networks at multiple locations anywhere in the World. One person can deploy remote monitoring and management in less than 15 minutes.
Sign Up for Free
Connect with customers in one app
Businesses of all sizes seeking an AI-enhanced, all-in-one communication platform to unify voice, video, and messaging for improved team collaboration
Dialpad Connect is an AI-powered unified communications platform that combines voice, video, and messaging to enhance team collaboration and customer interactions. It features real-time call transcription, automated call summaries, and AI-generated action items to help users stay focused during conversations. The platform integrates seamlessly with popular business apps like Salesforce, Zendesk, Microsoft Teams, and Google Workspace to streamline workflows. Designed for businesses of all sizes, Dialpad Connect delivers enterprise-grade reliability with 100% uptime SLA and robust disaster recovery. Security and privacy are core priorities, meeting standards like GDPR, HIPAA, and SOC 2 compliance. Dialpad Connect helps companies elevate customer experiences while boosting team productivity.
As of 2018-06-28, this project has moved to https://github.com/AdamaJava. This copy of the code will remain but all new code updates and releases will be from the new site.
Java code developed by the Australian ICGC team for operating on next-generation sequencing data. This code is currently being maintained and expanded by the QIMR Berghofer Genome Informatics team (http://www.qimrberghofer.edu.au/lab/genome-informatics/)
More details and documentation can be found on the wiki:
http://sourceforge.net/p/adamajava/wiki/Home/
We moved to
https://github.com/sueswe/pzgtools
Perl-Programs to extract information (and visualize them with gnuplot) from data-files from the PZG Particle Sampler from "rr-elektronik" (see http://www.rr-elektronik.de). Linux/KDE-version, GUI written in QT or Gambas. Win32-ver: pzg-tools.npage.de