Metrics Miscellany
C 63 completed
Library
cli / toml · tiny
15
Files
3,466
LOC
1
Frameworks
3
Languages
Pipeline State
completedRun ID
#354897Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
57.15Framework unique
—Isolation
—Last stage change
2026-05-10 03:34:57Deduplication group #58882
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionTesting
Source: Repobility analyzer · https://repobility.com
AI Prompt
I need a command-line tool written in Python that uses pytest for testing. This tool should provide various miscellaneous functions for estimating values, specifically designed to work with pandas DataFrames. It should be structured as a CLI application, and I'd like it to handle configuration using TOML files. Please ensure the project structure is clean and includes necessary setup files like a Makefile.
python cli pandas pytest toml data-analysis scripting command-line
Generated by gemma4:latest
Catalog Information
This project provides miscellaneous functions for estimating values using pandas dataframes.
Description
The metrics-miscellany project offers a collection of utility functions for working with pandas DataFrames, specifically designed to facilitate estimation tasks. It leverages popular libraries like NumPy and SciPy to provide efficient and accurate calculations. This project is intended for data analysts and scientists who need to perform various estimations on their datasets.
الوصف
يعد مشروع metrics-miscellany مجموعة من الوظائف المفيدة لتعامل مع البيانات الموجودة في البيانات الإحصائية، وخاصةً لتحديد القيم المتعلقة بالبيانات. يستفيد هذا المشروع من مكتبات NumPy و SciPy للعمل بشكل فعال وموثوق.
Novelty
3/10Tags
data-estimation pandas-dataframe numerical-computation data-analysis scientific-computing
Technologies
matplotlib numpy pandas scipy
Claude Models
claude-opus-4.6
Quality Score
C
62.8/100
Structure
49
Code Quality
100
Documentation
40
Testing
0
Practices
80
Security
100
Dependencies
50
Strengths
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Low average code complexity \u2014 well-structured code
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- Missing README file \u2014 critical for project understanding
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
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
Security & Health
4.1h
Tech Debt (C)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (3)
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
Unknown
License
0.0%
Duplication
Languages
Frameworks
pytest
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Repobility · MCP-ready · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | Miscellaneous code for estimation involving pandas dataframes. | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Embed Badge
Add to your README:
