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Phalcon (framework)

Phalcon is a PHP web framework based on the model–view–controller (MVC) pattern. Originally released in 2012, it is an open-source framework licensed under the terms of the BSD License.

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History & Products

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Research this topic

Explore the main themes, entities and connections around Phalcon (framework). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

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Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developers
Andres Gutierrez and others
License
BSD License
Platform
Unix, Linux, Mac OS X, Windows
Release
November 14, 2012 (2012-11-14)
Repository
github.com/phalcon/cphalcon
Stable release
5.10.0 / 25 December 2025; 7 months ago (2025-12-25)

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Phalcon (framework)

Nodes19
Edges18
Triples9
Avg. degree1.89
Density0.105263
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Phalcon (framework)

Top relations

Developers · 1
Phalcon (framework) → Andres Gutierrez and others
License · 1
Phalcon (framework) → BSD License
Platform · 1
Phalcon (framework) → Unix, Linux, Mac OS X, Windows
Release · 1
Phalcon (framework) → November 14, 2012 (2012-11-14)
Repository · 1
Phalcon (framework) → github.com/phalcon/cphalcon
Stable release · 1
Phalcon (framework) → 5.10.0 / 25 December 2025; 7 months ago (2025-12-25)
Type · 1
Phalcon (framework) → Web framework
Website · 1
Phalcon (framework) → phalcon.io
Written in · 1
Phalcon (framework) → Zephir, C, PHP

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

phalcon php zephir release support released web framework v5 written extension also team server bsd license new made available includes

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
Phalcon (framework)DevelopersAndres Gutierrez and others1.00infobox
Phalcon (framework)LicenseBSD License1.00infobox
Phalcon (framework)PlatformUnix, Linux, Mac OS X, Windows1.00infobox
Phalcon (framework)ReleaseNovember 14, 2012 (2012-11-14)1.00infobox
Phalcon (framework)Repositorygithub.com/phalcon/cphalcon1.00infobox
Phalcon (framework)Stable release5.10.0 / 25 December 2025; 7 months ago (2025-12-25)1.00infobox
Phalcon (framework)TypeWeb framework1.00infobox
Phalcon (framework)Websitephalcon.io1.00infobox
Phalcon (framework)Written inZephir, C, PHP1.00infobox

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.