Licensing

This software allows limited commercial use.

• You may not sell source files created with this software for profit without a commercial license.

• A separate commercial license is available for purchase.

• The professional version, Divooka Compute (coming soon), has no commercial restrictions.

This version is intended for personal and educational use.

• You may use outputs generated by your programs for commercial purposes as long as your total revenue from such use does not exceed $100,000 USD and you are not distributing program files.

• For revenue beyond this limit or for distribution, a commercial license is required.

Overview

Explore the fascinating world of digital computation through a powerful collection of tools, interactive playgrounds, and flexible frameworks.

Divooka Explore is more than a tool—it is a platform to learn, experiment, and create.

Features

• High-level functional API

• Visual node-based interface

• Fast performance

• First-class image and audio processing

• Fully programmable APIs

• Small file size

• Modular design and composition

• Clean, efficient user interface

• Broad capability across multiple domains

• Rapidly evolving feature set

• Minimal dependencies, maximum portability

• Cross-platform program execution

• Permissive license model

• Free programming training resources

• Utility tools available as DLC

• All future DLC included with the base package

• Affordable commercial licensing options

• Localized function names (Simplified Chinese, Traditional Chinese, Ancient Chinese, Japanese, Korean via DLC)

• Fully local execution — no cloud dependency

• Full ownership of everything you create

• Practical, real-world examples

• Modern programming features

• Interactive evaluation and live previews

• Low system requirements

• Fast startup time

• Local RAG knowledge base

• Default double-precision numeric type

• Built for creators, developers, gamers, data analysts, and world builders

• Multi-paradigm programming

• Comprehensive documentation and textbook

• One-click GUI input/output tools

Language features

• Multi-paradigm: functional, declarative, imperative, procedural (experimental), OOP, visual, event-driven

• Automatic argument coercion

• Array dispatch support

• Literal structures via property panel

• Lambda expressions

• Generics (planned/experimental)

• Primitive type conversion

• Strong typing

• Built-in module-level unit testing

• Intermediate execution inspection

• Turing complete

Editor Features

• Dataflow context results preview (on-node and output window)

• Quick function search

• In-app documentation (Alt + hold on node)

• Procedural context visual debugger

• Reactive Mode

Primitive Types

• Scalars: boolean, integer, high-precision floating-point, text, datetime

• Numerics: color, 3D vector

• Arrays: collections of scalar values

• Compounds: structured combinations of scalars, arrays, and other compounds

Capabilities

• Numerical computation and mathematics

• Data visualization and plotting

• Data table manipulation

• HTTP requests

• Generative AI (APIs)

• Procedural terrain generation

• Image processing

• File system operations

• Web hosting

• Interactive graphics

Standalone Tools

• Program Launcher (CLI & GUI)

• Image-to-ICO Converter

• Book Writer

• Methodox Knowledge Base

• Audio Transcriber

• Fluent Music

Programmable Applications

• Procedural Planet Generator (same system as Fantasy Planet Painter)

Frameworks

• Slide presentation system

See official wiki for an overview of available capabilities and the manual page for full status of available packages.

Execution Contexts

Dataflow Context

Designed for dataflow-oriented applications with side effects.

The Procedural Context

Supports control flow such as branches, loops, and callbacks.

Declarative Context

Focused on defining what should be computed rather than how. Ideal for constraint-based logic, structured data definitions, and high-level specifications.

Design Principles

• Graph-native: built around nodes and visual interfaces

• Balanced abstraction: use nodes where appropriate, code where necessary

• High-level efficiency: common tasks achievable with minimal nodes

• Not a toy: simple to learn, powerful to scale

• High performance: near-native execution speed

• Extensible: Divooka-native, C# first, Lua second, Python planned

• Accessible: optimized for ease of use without sacrificing capability

• Human-first design

• Local-first: runs locally whenever possible

• Minimal reliance on AI

• Enjoyable to use

Known limitations

• GUI editor is currently Windows-only (CLI execution is cross-platform)

• No copy-paste support yet

• Occasional crashes

• Incomplete localization (Chinese/Japanese/Korean variants)

• Limited documentation and tutorials (in progress)

• Backward compatibility not fully guaranteed

• Some GUI areas are still under development

• No video processing support yet

• No advanced 3D processing yet