Valency Anndata
B 82 completed
Library
unknown / python · small
94
Files
10,400
LOC
1
Frameworks
6
Languages
Pipeline State
completedRun ID
#369011Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
43.14Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47778
Member of a group with 1 similar repo(s) — canonical #22814 view group →
Top concepts (2)
Project DescriptionTesting
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/
AI Prompt
Create an experimental Python tool for analyzing poliS-like data within a notebook environment. The tool should allow users to load data from a specified URL, visualize workflows using schematic diagrams, and run various analysis pipelines. Specifically, I need functionality to calculate QC metrics, perform imputation using a mean strategy, run PCA mapping, and execute k-means clustering. The tool should also support visualizing embeddings based on different bases and color-coding by multiple metrics. Please ensure the core logic is built using Python and includes pytest for testing.
python data-analysis notebook bioinformatics scipy pytest visualization
Generated by gemma4:latest
Catalog Information
This project is an experimental tool for analyzing poliS-like data in a notebook environment.
Description
The valency-anndata project provides experimental tooling for supporting notebook analysis of poliS-like data. This tool aims to facilitate the exploration and understanding of complex data sets within a Jupyter Notebook or similar environment.
الوصف
يعد مشروع valency-anndata أداة تجريبية لتوفير دعم للتحليلات في بيئة الملاحظات. تهدف هذه الأداة إلى تعزيز فهم البيانات المعقدة داخل بيئة الملاحظة أو بيئات مماثلة.
Novelty
5/10Tags
data-analysis notebook-environment polis-like-data experimental-tooling
Claude Models
claude-opus-4.6 claude-sonnet-4.5 claude-sonnet-4.6
Quality Score
B
81.7/100
Structure
89
Code Quality
88
Documentation
88
Testing
75
Practices
60
Security
84
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (47% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- 306 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a LICENSE file (MIT recommended for open source)
Security & Health
7.8h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
Source: Repobility analyzer · https://repobility.com
Unknown
License
4.4%
Duplication
Languages
Frameworks
pytest
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Repobility — same analyzer, your code, free for public repos · /scan/ | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Experimental tooling to support notebook analysis of polislike data. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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