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Build with Viper and Kibo

Four integration test projects validating the Viper 3-tier architecture on different stacks.

Native Integration

Graph Editor (AppKit)

Native macOS application validating C++ 3-tier integration with AppKit

Graph Editor on macOS (AppKit)
273 Lines DSM
15,592 Lines Generated
57x Amplification
66% Code Generated

Code Breakdown (23,552 lines total)

Generated C++
11,015 (46.8%)
Generated Python
4,577 (19.4%)
UI (AppKit)
4,857 (20.6%)
Business C++
2,433 (10.3%)
Business Python
670 (2.8%)

Key Features

  • Node-based graph structure with typed connections
  • Multiple attachments per concept
  • Full undo/redo via commit history
  • Embedded Python scripting
  • Automatic Python access to C++ business logic
  • Multi-stream access via CommitDatabaseServer

Private laboratory application. Validates that the Viper runtime integrates cleanly into a native macOS UI layer with embedded Python.

C++ Python AppKit macOS
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Python Integration

Graph Editor (Qt Widgets)

Cross-platform application validating Python 3-tier integration with Qt

Graph Editor Qt Widgets - Main view
273 Lines DSM
3,466 Kibo Generated
13x Amplification
28,875 Total Lines

Code Breakdown (28,875 lines total)

Qt Generated
14,673 (51%)
Kibo Generated
3,466 (12%)
UI (Qt Widgets)
7,982 (28%)
Business Python
2,754 (9%)

Key Features

  • Same DSM model as the AppKit version
  • Pure Python application over dsviper
  • Interactive graph visualization with Qt Widgets
  • Full undo/redo via commit history
  • Documents browser, metadata inspector, commit program trace
  • Multi-stream access via CommitDatabaseServer

Demonstrates that the same DSM model powers both a native C++ application and a pure Python application. The 3-tier architecture is UI-agnostic.

Python Qt Widgets PySide6 Cross-platform
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Declarative Integration

Graph Editor (QML)

Cross-platform application — declarative QML presentation tier over the same dsviper runtime

Graph Editor QML - Main view
273 Lines DSM
3,466 Kibo Generated
13x Amplification
22,006 Total Lines

Code Breakdown (22,006 lines total)

QML Declarative
6,500 (29.5%)
Kibo Generated
3,466 (15.7%)
Shared Models
5,937 (27%)
App Python
6,103 (27.7%)

Key Features

  • Same DSM model as the AppKit and Qt Widgets versions
  • Pure Python application over dsviper ; declarative QML presentation (PySide6 + Fusion style)
  • Full mutation DAG with undo/redo
  • Integrated Python editor with auto-completion
  • Multi-stream access via CommitDatabaseServer

Same dsviper runtime as ge-py, different presentation tier. Validates the UI-agnosticism of the runtime — same CommitStore, same DSM model, same Kibo-generated code, only the rendering changes from Qt Widgets to QML. The matching QML components library (dsviper-components-qml) and QML database tools (dsviper-tools-qml) ship separately on GitHub.

Python QML PySide6 Cross-platform
View DSM Model Download

3-Tier Code Distribution

All four projects share the same DSM model. Only the UI and business layers change between stacks.

GE AppKit (Native)

66% Generated
24% UI
10% Business

GE Qt Widgets (Python)

51% Qt Gen.
12% Generated
28% UI
9% Business

GE QML (Declarative)

16% Generated
30% QML
55% Python

Raptor Editor (Torture Test)

69% Generated
25% Business
6% UI
Generated Infrastructure (Kibo)
Qt Generated
QML Declarative
UI (Manual)
Business Logic (Manual)

Stable Infrastructure Ratio

~66-69% generated code across AppKit and Raptor projects. Kibo's value scales predictably.

UI-Agnostic Architecture

Same DSM model powers AppKit, Qt Widgets, and QML. The QML port eliminates the generation layer entirely — pure application code over dsviper.

Declarative Eliminates Boilerplate

GE QML achieves the same functionality as GE Qt Widgets with 22K lines vs 29K — QML's declarative bindings replace imperative widget code.

Build Your Application

Start with the Graph Editor as a reference, or dive into the documentation.

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