Research any topic before you write.

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

TidalCycles

TidalCycles (also known as Tidal) is a live coding environment which is designed for improvising and composing music. Technically, it is a domain-specific language embedded in the functional programming language Haskell, and is focused on generating and manipulating audiovisual patterns. It was originally designed for heavily percussive and polyrhythmic…

Background, Artists using it & Overview

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 TidalCycles. 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.

Developers
Alex McLean, others
License
GPLv3
Operating system
Linux, macOS, Windows
Release
2009; 17 years ago (2009)
Repository
https://codeberg.org/uzu/tidal/
Stable release
1.10.0 / 8 June 2025; 14 months ago (2025-06-08)

Topics to explore

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

Overview

Background

Artists using it

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

TidalCycles

Nodes20
Edges19
Triples26
Avg. degree1.9
Density0.1
Components1

How this topic connects Entity context

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

TidalCycles

Top relations

related to background · 11
TidalCycles → AI, Alex McLean, Haskell, Indian, MIDI, Open Sound Control, SuperCollider, SuperDirt, This, Tidal, Tidal's
related to Related languages · 3
TidalCycles → There, Those, WeftStrudelTranquilityKidalEstuaryVortexPiratidalJaffleMarea
related to External links · 2
TidalCycles → GitHub, Official
Developers · 1
TidalCycles → Alex McLean, others
License · 1
TidalCycles → GPLv3
Operating system · 1
TidalCycles → Linux, macOS, Windows
Release · 1
TidalCycles → 2009; 17 years ago (2009)
Repository · 1
TidalCycles → https://codeberg.org/uzu/tidal/
Stable release · 1
TidalCycles → 1.10.0 / 8 June 2025; 14 months ago (2025-06-08)
Type · 1
TidalCycles → Live coding environment, algorave

Important terminology Word statistics

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

Important terminology

music tidal algorave patterns functional environment haskell time using live coding also language representation designed languages alex mclean domain-specific embedded

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
TidalCyclesDevelopersAlex McLean, others1.00infobox
TidalCyclesLicenseGPLv31.00infobox
TidalCyclesOperating systemLinux, macOS, Windows1.00infobox
TidalCyclesRelease2009; 17 years ago (2009)1.00infobox
TidalCyclesRepositoryhttps://codeberg.org/uzu/tidal/1.00infobox
TidalCyclesStable release1.10.0 / 8 June 2025; 14 months ago (2025-06-08)1.00infobox
TidalCyclesTypeLive coding environment, algorave1.00infobox
TidalCyclesWebsitetidalcycles.org1.00infobox
TidalCyclesWritten inHaskell1.00infobox
algoraveinstance ofalthough its cyclic approach to time means that it affords use in repetitive styles0.80text
TidalCyclesrelated to backgroundAlex McLean0.60section
TidalCyclesrelated to backgroundHaskell0.60section

Related concept clusters Concept neighborhoods

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

    Connections between topic areas Semantic bridges

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

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.