amesa-api

v0.30.0 safe
4.0
Medium Risk

the Amesa API

πŸ€– AI Analysis

Final verdict: SAFE

The package amesa-api v0.30.0 has minimal risks associated with it based on the analysis. It does not engage in risky behaviors such as making network calls or executing shell commands.

  • No network calls detected
  • No shell execution patterns detected
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API access.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands which reduces the risk of malicious activity.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

πŸ“¦ Package Quality Overall: Low (2.0/10)

β—‹ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
β—ˆ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1344 chars)
β—‹ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
β—‹ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
β—‹ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked β€” contributor count unavailable

πŸ”¬ Heuristic Checks

βœ“ Outbound Network Calls

No suspicious network call patterns found

βœ“ Code Obfuscation

No obfuscation patterns detected

βœ“ Shell / Subprocess Execution

No shell execution patterns detected

βœ“ Credential Harvesting

No credential harvesting patterns detected

βœ“ Typosquatting

No typosquatting candidates detected

βœ“ Registered Email Domain

Email domain looks legitimate: amesa.com>

βœ“ Suspicious Page Links

All external links appear legitimate

βœ“ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
βœ“ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

πŸ’‘ AI App Starter Prompt

Use this prompt to build a project with amesa-api
Create a financial tracking mini-application using the Amesa API package in Python. This application will allow users to track their financial transactions, categorize expenses, and generate reports based on transaction history. Here’s a detailed breakdown of the steps and features to implement:

1. **User Authentication**: Implement a secure login system where users can create accounts and log in securely. Use the Amesa API to fetch user-specific financial data.
2. **Transaction Fetching**: Utilize the Amesa API to fetch the latest financial transactions from the user's account. Ensure the transactions include details such as date, amount, category, and description.
3. **Categorization System**: Develop a feature that allows users to categorize their transactions into predefined categories like groceries, utilities, entertainment, etc. This should be flexible enough to allow users to add custom categories if needed.
4. **Report Generation**: Create a reporting feature that generates monthly summaries of spending. Users should be able to view these summaries either as a detailed report or a simple chart.
5. **Budget Management**: Integrate a budget management system where users can set monthly budgets for each category and receive alerts when they are nearing or exceeding their budget limits.
6. **Data Visualization**: Incorporate graphs and charts to visually represent the transaction data. For instance, show a pie chart representing the distribution of expenses across different categories.
7. **Security Measures**: Ensure all sensitive data is handled securely, following best practices for data protection and privacy.
8. **User Interface**: Design a clean, intuitive user interface for ease of use. Consider both command-line and graphical interfaces.

By utilizing the Amesa API, your application will leverage real-time financial data to provide personalized insights and tools for better financial management.

πŸ’¬ Discussion Feed

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