Pipeworks Axis Descriptor Lab
B 84 completed
Web App
unknown / python · small
90
Files
13,091
LOC
2
Frameworks
11
Languages
Pipeline State
completedRun ID
#370442Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
64.00Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:10Deduplication group #47951
Member of a group with 14 similar repo(s) — canonical #85543 view group →
Top concepts (2)
Project DescriptionWeb Backend
About: code-quality intelligence by Repobility · https://repobility.com
AI Prompt
Create a small web tool using FastAPI that allows users to test LLM descriptive text generation from a deterministic axis payload. The tool should have a UI where users can select an example or paste JSON, adjust axis scores using sliders (which should update labels in a textarea), and optionally toggle an 'Auto (policy)' feature to recompute labels. Users must be able to select an Ollama model, set temperature and token budget, and generate a descriptive paragraph. Include functionality to save the output as a baseline, view a difference (Δ Changes) diff, and persist the entire session state upon clicking 'Save'.
python fastapi web-tool llm ai data-visualization frontend ollama
Generated by gemma4:latest
Catalog Information
This project is a tiny web tool designed to test the capabilities of small Language Models in generating non-authoritative descriptive text from a deterministic axis payload.
Description
The axis-descriptor-lab is a lightweight web application that evaluates the performance of small-scale Language Learning Models (LLMs) in producing descriptive text. It takes a deterministic axis payload as input and generates non-authoritative descriptions. This tool is likely used for research purposes, specifically to assess the capabilities of LLMs in generating descriptive content.
الوصف
هذا الأداة الصغيرة هي أداة ويب خفيفة تستخدم لاختبار قدرات النماذج اللغوية الصغيرة في إنتاج نصوص وصفية غير موثوقة من مدخلات محددة للنقطة (مشروع Pipe-Works).
Novelty
5/10Tags
text-generation language-models research-tool evaluation-tool descriptive-text axis-payload
Technologies
fastapi uvicorn
Claude Models
claude-opus-4.6
Quality Score
B
84.4/100
Structure
84
Code Quality
80
Documentation
84
Testing
85
Practices
81
Security
100
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (52% test-to-source ratio)
- Code linting configured (ruff (possible))
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 542 duplicate lines detected \u2014 consider DRY refactoring
- 2 'god files' with >500 LOC need decomposition
Security & Health
4.6h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
AGPL-3.0
License
1.9%
Duplication
Languages
Frameworks
FastAPI pytest
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| auto_description | Project Description | Tiny web tool for testing how small LLMs (via Ollama) produce non-authoritative descriptive text from a deterministic axis payload. Part of the Pipe-Works project. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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