Research any topic before you write.

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

Snap! (programming language): History & Measurement

Snap! (formerly Build Your Own Blocks) is a free block-based educational graphical programming language and online community. Snap allows students to explore, create, and remix interactive animations, games, stories, and more, while learning about mathematical and computational ideas. The Snap! editor, and programs created in it, are web applications…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Snap! (programming language) topic overview

The analysis highlights History and Measurement as prominent areas in the source structure around Snap! (programming language).

Related topics
27
Source areas
9
Connected nodes
36
Extracted relationships
11
Concept neighborhoods
12
Bridge connections
36

What this topic covers Research coverage

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.

History · 6 topics
License · 4 topics
Mascot · 4 topics
Overview · 4 topics
Implementation · 3 topics
Platforms · 2 topics
Special-purpose blocks (libraries) · 2 topics
Limitations · 1 topics
Metaprogramming, reflection, and macros · 1 topics

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.

Key facts & relationships

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

Designed by
Brian Harvey and Jens Mönig
Developer
Jens Mönig
Filename extensions
.xml (Snap!)
First appeared
2011; 15 years ago (2011)
Implementation language
Morphic.js (written in JavaScript); [Note 1]
License
AGPL

Explore all related topics Closing gaps

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.

Overview

Metaprogramming, reflection, and macros

Mascot

Special-purpose blocks (libraries)

Limitations

History

License

Platforms

Implementation

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.

How Snap! (programming language) connects Entity context

The extracted context around Snap! (programming language) shows recurring relationship patterns in the source. For example, Snap! (programming language) → Brian Harvey and Jens Mönig Another extracted example is Snap! (programming language) → Jens Mönig. Use these groups to spot repeated connection types before inspecting the individual relationships.

Snap! (programming language)

Top relations

Designed by · 1
Snap! (programming language) → Brian Harvey and Jens Mönig
Developer · 1
Snap! (programming language) → Jens Mönig
Filename extensions · 1
Snap! (programming language) → .xml (Snap!)
First appeared · 1
Snap! (programming language) → 2011; 15 years ago (2011)
Implementation language · 1
Snap! (programming language) → Morphic.js (written in JavaScript); [Note 1]
License · 1
Snap! (programming language) → AGPL
OS · 1
Snap! (programming language) → Cross-platform
Paradigm · 1
Snap! (programming language) → object-oriented, educational, event-driven
Stable release · 1
Snap! (programming language) → 11.0.8 / May 5, 2025; 15 months ago (2025-05-05)
Typing discipline · 1
Snap! (programming language) → dynamic

Important terminology

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

Important terminology

snap blocks morphic jens javascript js license educational area mönig scratch block sprite using created run top libraries brian website

Snap! (programming language) relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Snap! (programming language). Examples in this analysis include Snap! (programming language) → Designed by → Brian Harvey and Jens Mönig and Snap! (programming language) → Developer → Jens Mönig. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Snap! (programming language)Designed byBrian Harvey and Jens Mönig1.00infobox
Snap! (programming language)DeveloperJens Mönig1.00infobox
Snap! (programming language)Filename extensions.xml (Snap!)1.00infobox
Snap! (programming language)First appeared2011; 15 years ago (2011)1.00infobox
Snap! (programming language)Implementation languageMorphic.js (written in JavaScript); [Note 1]1.00infobox
Snap! (programming language)LicenseAGPL1.00infobox
Snap! (programming language)OSCross-platform1.00infobox
Snap! (programming language)Paradigmobject-oriented, educational, event-driven1.00infobox
Snap! (programming language)Stable release11.0.8 / May 5, 2025; 15 months ago (2025-05-05)1.00infobox
Snap! (programming language)Typing disciplinedynamic1.00infobox
Snap! (programming language)Websitesnap.berkeley.edu1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Snap! (programming language) bring nearby vocabulary together. In this analysis, examples include Language, Online and Programming. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Snap! (programming language)
    • Language
    • Online
    • Programming
    • Jens
    • Palette
    • Website
    • Js
    • Using
    • Morphic
    • Area
    • Brian
    • Created
  • snap! (programming language)
    • Implementation
    • Language
    • Online
    • Programming
    • Written
    • Jens
    • Berkeley
    • Brian
    • Libraries
    • License
    • Mönig
    • Palette
  • university of california, berkeley
    • Brian
    • License
    • Mönig
    • Website
    • Implementation
    • Jens
    • Ideas
    • Language
    • Students
    • Written
    • Available
    • Educational
  • special-purpose blocks (libraries)
    • Palette
    • Implementation
    • Area
    • Graphical
    • Language
    • Written
    • Educational
    • Libraries
    • Scripts
    • Available
    • Block
    • Brian
  • morphic
    • Js
    • Top
    • Javascript
    • Gui
    • Written
    • Mönig
    • World
    • Jens
    • Snap
    • Implementation
    • Based
    • Berkeley
  • brian harvey
    • Jens
    • Educational
    • Mönig
    • Implementation
    • Ideas
    • Language
    • Students
    • Written
    • Based
    • Libraries
    • License
    • Palette
  • implementation
    • Language
    • Written
    • Brian
    • Libraries
    • License
    • Mönig
    • Palette
    • Scratch
    • Top
    • Website
    • Javascript
    • Js
  • gnu affero general public license
    • Website
    • Written
    • Available
    • Mönig
    • Palette
    • Scratch
    • Top
    • Sprite
    • Morphic
    • Snap

Connections between topic areas Semantic bridges

For Snap! (programming language), one of the stronger structural bridges in this analysis connects Snap! (programming language) with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Snap! (programming language)History · splits 30 ⟂ 7
Snap! (programming language)Overview · splits 32 ⟂ 5
Snap! (programming language)Mascot · splits 32 ⟂ 5
Snap! (programming language)License · splits 32 ⟂ 5
Snap! (programming language)Implementation · splits 33 ⟂ 4
Snap! (programming language)Special-purpose blocks (libraries) · splits 34 ⟂ 3
Snap! (programming language)Platforms · splits 34 ⟂ 3

Map overview Semantic statistics

Snap! (programming language)

Nodes37
Edges36
Triples11
Avg. degree1.95
Density0.054054
Components1

Source & methodology

TTTA analyzes the structure around Snap! (programming language) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Snap! (programming language) · EN edition · Analysis: TopicsToTalkAbout

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