Research any topic before you write.

Find related topics.Discover entities.See connections.Build a topical map.

Django (web framework)

Django (/ˈdʒæŋɡoʊ/ JANG-goh; sometimes stylized as django) is a free and open-source, Python-based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern. It is maintained by the Django Software Foundation (DSF), an independent organization established in the US as a 501(c)(3) non-profit.

[EN, English, English]

History, Community, Works & Products

Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

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

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

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

Developer
Django Software Foundation
License
3-clause BSD
Original authors
Adrian Holovaty, Simon Willison
Release
21 July 2005; 21 years ago (2005-07-21)
Repository
github.com/django/django
Type
Web framework

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

Features

Community

Ports to other languages

CMSs based on Django Framework

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.

Django (web framework)

Nodes92
Edges91
Triples14
Avg. degree1.98
Density0.021739
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.

Django (web framework)

Top relations

Developer · 1
Django (web framework) → Django Software Foundation
License · 1
Django (web framework) → 3-clause BSD
Original authors · 1
Django (web framework) → Adrian Holovaty, Simon Willison
Release · 1
Django (web framework) → 21 July 2005; 21 years ago (2005-07-21)
Repository · 1
Django (web framework) → github.com/django/django
Type · 1
Django (web framework) → Web framework
Website · 1
Django (web framework) → www.djangoproject.com
Written in · 1
Django (web framework) → Python

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

django djangocon held framework python us web september software template django's development server also models applications components foundation website conference

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
Django (web framework)DeveloperDjango Software Foundation1.00infobox
Django (web framework)License3-clause BSD1.00infobox
Django (web framework)Original authorsAdrian Holovaty, Simon Willison1.00infobox
Django (web framework)Release21 July 2005; 21 years ago (2005-07-21)1.00infobox
Django (web framework)Repositorygithub.com/django/django1.00infobox
Django (web framework)TypeWeb framework1.00infobox
Django (web framework)Websitewww.djangoproject.com1.00infobox
Django (web framework)Written inPython1.00infobox
software developmentinstance ofThe conference featured 26 talks on topics0.80text
educationinstance ofThe conference featured 26 talks on topics0.80text
careersinstance ofThe conference featured 26 talks on topics0.80text
accessibilityinstance ofThe conference featured 26 talks on topics0.80text

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.