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Mongrel2 is an open-source "language agnostic" web server written by Zed Shaw, and is the successor to Shaw's Mongrel server. The server supports HTTP, Flash XMLSockets, WebSockets and long polling connections.
Language agnostic & Overview
Explore the main themes, entities and connections around Mongrel2. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. 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.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
server shaw language zed agnostic web written mongrel http website open-source flash xmlsockets websockets successor shaw's supports long polling connections
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Mongrel2 | Developer | Zed A. Shaw | 1.00 | infobox |
| Mongrel2 | License | Revised BSD License | 1.00 | infobox |
| Mongrel2 | Operating system | Unix-like | 1.00 | infobox |
| Mongrel2 | Repository | github.com/mongrel2/mongrel2 | 1.00 | infobox |
| Mongrel2 | Stable release | 1.13.0 / December 24, 2021; 4 years ago (2021-12-24) | 1.00 | infobox |
| Mongrel2 | Type | Web server | 1.00 | infobox |
| Mongrel2 | Website | mongrel2.org | 1.00 | infobox |
| Mongrel2 | Written in | C | 1.00 | infobox |
| Mongrel2 | is a | open-source | 0.90 | text |
| Mongrel2 | related to Development | Shaw | 0.60 | section |
| Mongrel2 | related to Development | June | 0.60 | section |
| Mongrel2 | related to Development | September | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.