Kind Finance
D 58 completed
Data Tool
library / python · small
73
Files
14,487
LOC
0
Frameworks
5
Languages
Pipeline State
completedRun ID
#306713Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
72.00Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:28Deduplication group #49679
Member of a group with 3 similar repo(s) — canonical #83438 view group →
Top concepts (1)
Library
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AI Prompt
I want to build a personal finance tracking application using Python. The project should allow individuals to manage and track their personal finances. I see there are existing components like a Colab notebook, a setup file, and a requirements file, so I'd like you to structure the core logic within the `src/` directory. Please ensure the structure supports configuration management via a `config/` directory and includes necessary testing setup in `tests/`.
python finance personal-finance library data-management
Generated by gemma4:latest
Catalog Information
Kind Finance is a project for individuals to track and manage their personal finances.
Description
This project provides a basic framework for users to monitor their expenses, income, and savings. It utilizes popular data science libraries such as Pandas, NumPy, and Scikit-learn to handle and analyze financial data. The project's primary goal is to offer a simple yet effective tool for individuals to gain insights into their financial situation.
الوصف
يعد مشروع Kind Finance أداة أساسية للمساعدة في إدارة المالية الشخصية. يستخدم هذا المشروع مكتبات البيانات العلمية الشهيرة مثل Pandas و NumPy و Scikit-learn لتعامل وتحليل البيانات المالية. الهدف الرئيسي من هذا المشروع هو تقديم أداة بسيطة وفعالة للمساعدة في الحصول على نظرة عامة حول الوضع المالي.
Novelty
3/10Tags
expense-tracking income-management savings-analysis financial-insights personal-finance
Technologies
matplotlib numpy pandas pytorch scikit-learn scipy
Claude Models
claude-opus-4.6
Quality Score
D
57.8/100
Structure
53
Code Quality
64
Documentation
40
Testing
50
Practices
66
Security
80
Dependencies
90
Strengths
- Consistent naming conventions (snake_case)
Weaknesses
- Missing README file \u2014 critical for project understanding
- No LICENSE file \u2014 legal ambiguity for contributors
- No CI/CD configuration \u2014 manual testing and deployment
- 840 duplicate lines detected \u2014 consider DRY refactoring
- 4 'god files' with >500 LOC need decomposition
Recommendations
- Add a comprehensive README.md explaining purpose, setup, usage, and architecture
- 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)
Security & Health
5.1h
Tech Debt (A)
Medium
DORA Rating
A
OWASP (100%)
PASS
Quality Gate
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
A
Risk (1)
Unknown
License
4.7%
Duplication
Languages
Frameworks
None detected
Symbols
function126
method102
variable20
class18
constant14
Concepts (1)
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| auto_category | Library | library | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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BinComp Dependency Hardening
All packages →8 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Ftorch2.11.0 · 1,257 gadgets · risk 5116.6Njoblib1.5.3 · 0 gadgets · risk 0.0Cmatplotlib3.10.8 · 2,481 gadgets · risk 0.0Fnumpy2.4.4 · 6,596 gadgets · risk 0.0Fpandas3.0.2 · 6,381 gadgets · risk 0.0Fscipy1.17.1 · 21,805 gadgets · risk 0.0Nsetuptools82.0.1 · 0 gadgets · risk 0.0Ntqdm4.67.3 · 0 gadgets · risk 0.0