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OpenNMS is a free and open-source network monitoring and network management platform written in Java. It provides fault management, performance data collection, service monitoring, event processing, and topology mapping. The project was started in July 1999 and registered on SourceForge as project 4141 in March 2000, making it one of the oldest…
The analysis highlights History and Art as prominent areas in the source structure around OpenNMS.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around OpenNMS shows recurring relationship patterns in the source. For example, OpenNMS → Atipa, Brian Weaver, In July, July, Kansas City-based Linux, Luke Rindfuss, March, Nagios, NetSaint, Oculan, On September, PlatformWorks, SourceForge, Steve Giles, The Another extracted example is OpenNMS → An, Events, Internal, Jira, Notifications, OTRS, Request Tracker, SMS, SNMP, TCP, The, TL/1, XML, XMPP. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
management project data network event monitoring commercial service 2000 java open-source march group order green polo sourceforge agplv3 systems july
TTTA extracted 69 structured relationships around OpenNMS. Examples in this analysis include OpenNMS → Developers → The OpenNMS Group, The Order of the Green Polo and OpenNMS → License → AGPLv3. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| OpenNMS | Developers | The OpenNMS Group, The Order of the Green Polo | 1.00 | infobox |
| OpenNMS | License | AGPLv3 | 1.00 | infobox |
| OpenNMS | Operating system | Linux, Unix | 1.00 | infobox |
| OpenNMS | Release | March 2000; 26 years ago (2000-03) | 1.00 | infobox |
| OpenNMS | Repository | github.com/OpenNMS/opennms | 1.00 | infobox |
| OpenNMS | Stable release | 36.0.3 / August 12, 2026; 11 days ago (2026-08-12) | 1.00 | infobox |
| OpenNMS | Type | Network management | 1.00 | infobox |
| OpenNMS | Website | www.opennms.org | 1.00 | infobox |
| OpenNMS | Written in | Java | 1.00 | infobox |
| OpenNMS | is a | free and open-source network monitoring and network management platform written in Java | 0.90 | text |
| Dynamic DNS servers | instance of | Provisioning adapters allow integration with external systems | 0.80 | text |
| RANCID for configuration management.Service monitoringThe service assurance system tests the availability of network services at configurable intervals | instance of | Provisioning adapters allow integration with external systems | 0.80 | text |
The concept neighborhoods around OpenNMS bring nearby vocabulary together. In this analysis, examples include Group, Java and Agplv3. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For OpenNMS, one of the stronger structural bridges in this analysis connects OpenNMS with Architecture. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around OpenNMS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — OpenNMS · EN edition · Analysis: TopicsToTalkAbout