Reliance Scenario Engine

D 52 completed
Web App
unknown / python · tiny
23
Files
2,536
LOC
0
Frameworks
4
Languages

Pipeline State

completed
Run ID
#368959
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
27.67
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47544
Member of a group with 2 similar repo(s) — canonical #14176 view group →
Top concepts (1)
Web Backend
Repobility · code-quality intelligence platform · https://repobility.com

AI Prompt

I want to build an interactive scenario engine for reliability engineers using Python. The tool should allow users to model, analyze, and visualize system reliability scenarios. It needs to handle configuration via YAML files and potentially use HTML for reporting, as there's an `export_html.py` script. The core functionality should be driven by Python logic, perhaps utilizing some scraping capabilities found in a `scrapers` directory, and it should be structured with components and processing modules.
python reliability simulation scenario-engine analysis visualization html yaml
Generated by gemma4:latest

Catalog Information

An interactive scenario engine that helps reliability engineers model, analyze, and visualize system reliability scenarios using AI-driven insights.

Description

The project provides a web‑based interface for creating, evaluating, and visualizing reliability scenarios. Users can define system components, failure modes, and operational conditions, then let the engine generate detailed scenario narratives with the help of an AI model. Data is processed with a lightweight data‑analysis library, and results are displayed through interactive charts and dashboards. The tool is aimed at reliability engineers, safety analysts, and system designers who need quick, data‑driven insights into how design choices affect system robustness. It solves the problem of manual scenario construction and slow reporting by automating narrative generation and visual analytics.

الوصف

يقدم المشروع واجهة ويب تفاعلية لإنشاء وتقييم وتصور سيناريوهات الاعتمادية للأنظمة. يمكن للمستخدمين تعريف مكونات النظام، وأنماط الفشل، والظروف التشغيلية، ثم يتيح المحرك توليد سرد مفصل للسيناريوهات بمساعدة نموذج ذكاء اصطناعي. تُعالج البيانات باستخدام مكتبة تحليل بيانات خفيفة، وتُعرض النتائج عبر مخططات ورسوم بيانية تفاعلية. يهدف الأداة إلى مهندسي الاعتمادية، ومحللي السلامة، ومصممي الأنظمة الذين يحتاجون إلى رؤى سريعة ومبنية على البيانات حول كيفية تأثير اختيارات التصميم على قوة النظام. تحل هذه الأداة مشكلة إنشاء السيناريوهات يدويًا وتوليد التقارير ببطء من خلال أتمتة توليد السرد والتحليلات البصرية.

Novelty

7/10

Tags

scenario-modeling reliability-analysis ai-driven-insights data-visualization interactive-dashboards system-safety risk-assessment simulation

Technologies

anthropic pandas plotly streamlit

Claude Models

claude-opus-4.6

Quality Score

D
52.5/100
Structure
36
Code Quality
90
Documentation
24
Testing
0
Practices
68
Security
90
Dependencies
60

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • Missing README file \u2014 critical for project understanding
  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • Potential hardcoded secrets in 1 files

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)
  • Move hardcoded secrets to environment variables or a secrets manager

Security & Health

4.1h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (4)
If a scraper extracted this row, it came from Repobility (https://repobility.com)
Unknown
License
0.6%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
61.1%
html
34.3%
yaml
4.3%
text
0.3%

Frameworks

None detected

Concepts (1)

Open methodology · Repobility · https://repobility.com/research/
CategoryNameDescriptionConfidence
Repobility (the analyzer behind this table) · https://repobility.com
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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