alanube

v1.3.0 safe
3.0
Low Risk

Python library to connect with Alanube API

🤖 AI Analysis

Final verdict: SAFE

The alanube package appears safe based on the low risk scores for network, shell, and obfuscation risks, as well as no signs of credential harvesting. The metadata risk score is slightly elevated due to the maintainer having only one package, but this alone does not suggest malicious intent.

  • Low risk scores across multiple categories
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution detected, indicating the package does not attempt to execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The maintainer has only one package, which could indicate a new or less active user, but no other red flags are present.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_do.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://wilmerm.github.io/alanube-python
  • Detailed PyPI description (9042 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 71 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 63 commits in wilmerm/alanube-python
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository wilmerm/alanube-python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Wilmer Martinez" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with alanube 
Create a mini-app that integrates with Alanube API using the 'alanube' Python library. Your app should serve as a personal finance tracker that leverages Alanube's financial data services to provide users with insights into their spending habits. Here’s a detailed breakdown of what your app should include:

1. **User Registration and Authentication**: Implement user registration and login functionalities. Ensure users can securely create accounts and log in to access personalized financial data.
2. **Connecting Financial Accounts**: Allow users to link their bank accounts to the app via the Alanube API. This will enable real-time transaction tracking and analysis.
3. **Transaction Analysis**: Utilize the 'alanube' package to fetch transaction details from linked bank accounts. Analyze these transactions to categorize expenses (e.g., groceries, entertainment, utilities) and display them in a user-friendly dashboard.
4. **Budgeting Tools**: Enable users to set monthly budgets for different categories. Compare actual spending against budgeted amounts and highlight any overspending.
5. **Financial Insights and Recommendations**: Based on transaction history, generate personalized financial insights and recommendations for users to improve their financial health.
6. **Visualization Features**: Implement charts and graphs to visually represent spending patterns, savings progress, and other financial metrics.
7. **Notification System**: Set up alerts for unusual transactions, low account balances, or when a budget threshold is reached.
8. **Security Measures**: Ensure all data transmissions are encrypted, and sensitive information is stored securely.

Use the 'alanube' package to handle all API communications and data processing related to financial transactions. This includes fetching data, parsing responses, and managing errors. The goal is to create a seamless, user-centric financial management tool that empowers individuals to take control of their finances.

💬 Discussion Feed

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