Presentar

C 65 completed
Framework
monorepo / rust · medium
611
Files
201,617
LOC
1
Frameworks
9
Languages

Pipeline State

completed
Run ID
#368639
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
62.00
Framework unique
Isolation
Last stage change
2026-05-10 03:35:17
Deduplication group #57176
Member of a group with 4 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionTesting
Repobility — same analyzer, your code, free for public repos · /scan/

AI Prompt

Create a framework for building high-performance, WebAssembly-first interactive visualizations for the web. I need it to support a declarative, YAML-driven application configuration and utilize a Brick Architecture where all widgets implement a specific trait. Key features should include 60fps GPU-accelerated rendering via WebGPU/WGSL shaders, built-in WCAG 2.1 AA accessibility checking, and a zero-dependency test harness. The core language should be Rust, and I'd like to see examples of using widgets like Button, Column, and Text.
rust wasm visualization webassembly ui-framework gpu declarative webgpu rust-wasm
Generated by gemma4:latest

Catalog Information

A framework that enables developers to build high‑performance, WebAssembly‑first interactive visualizations for the web.

Description

This framework empowers developers to create interactive visualizations that run entirely in the browser, leveraging WebAssembly for speed and efficiency. It combines a Rust core for low‑level rendering with Python bindings for rapid prototyping and data manipulation. Machine‑learning libraries such as TensorFlow and PyTorch are integrated to allow dynamic, data‑driven visual content. The design prioritizes modularity, enabling easy extension with custom shaders or analytics modules. Target users include frontend engineers and data scientists who need responsive, real‑time visual dashboards without server overhead.

الوصف

يُقدِّم هذا الإطار أدوات لبناء رسومات تفاعلية تعمل بالكامل في المتصفح، مستفيداً من WebAssembly لتحقيق سرعة وكفاءة عالية. يعتمد على نواة مكتوبة بلغة Rust لتقديم أداء منخفض المستوى، مع ربطها بواجهات Python لتسهيل النمذجة السريعة ومعالجة البيانات. تم دمج مكتبات تعلم الآلة مثل TensorFlow وPyTorch لتمكين المحتوى البصري الديناميكي المستند إلى البيانات. يركز التصميم على القابلية للتوسعة، مما يتيح إضافة شفرات مخصصة أو وحدات تحليلية بسهولة. يستهدف المطورين الأماميين وعلماء البيانات الذين يحتاجون لوحدات عرض تفاعلية في الوقت الحقيقي دون الاعتماد على الخوادم.

Novelty

7/10

Tags

interactive-visualizations webassembly-acceleration cross‑platform-rendering data‑driven-graphics real‑time-dashboards ml‑powered-visuals

Technologies

anthropic numpy pytorch serde tensorflow

Claude Models

claude-opus-4.5 claude-opus-4.6

Quality Score

C
64.8/100
Structure
77
Code Quality
44
Documentation
87
Testing
65
Practices
56
Security
75
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Containerized deployment (Docker)
  • Properly licensed project

Weaknesses

  • 34708 duplicate lines detected \u2014 consider DRY refactoring
  • 117 'god files' with >500 LOC need decomposition

Security & Health

15.8h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (0)
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
MIT
License
9.9%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

rust
87.1%
markdown
10.7%
yaml
0.9%
html
0.6%
toml
0.3%
json
0.2%
shell
0.1%
python
0.1%
text
0.1%

Frameworks

pytest

Concepts (2)

Data scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
auto_descriptionProject DescriptionPresentar provides a WASM-first UI framework for building high-performance visualization and application components. Built on the Sovereign AI Stack, it enables 60fps GPU-accelerated rendering with zero Python dependencies.80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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