aidbox-python-sdk

v0.2.3 safe
3.0
Low Risk

Aidbox SDK for python

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with low risks across all categories except metadata, where there is some concern about the completeness of author information and the maintainer's limited history.

  • No network calls or shell executions detected.
  • Incomplete author information and single package maintenance by the maintainer.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author information is incomplete and the maintainer has only one package, suggesting potential unreliability.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_sdk.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "documentation" -> https://github.com/Aidbox/aidbox-python-sdk#readme
  • Detailed PyPI description (8564 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

  • 13 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 7 unique contributor(s) across 100 commits in Aidbox/aidbox-python-sdk
  • Active community — 5 or more distinct 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

Email domain looks legitimate: beda.software>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository Aidbox/aidbox-python-sdk appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 aidbox-python-sdk 
Your task is to develop a simple yet powerful patient health monitoring system using the Aidbox SDK for Python. This system will allow healthcare providers to efficiently manage patient records, track health metrics over time, and generate reports. Here’s a detailed breakdown of what your application should accomplish:

1. **Patient Record Management**: Users should be able to create, read, update, and delete patient records. Each record must include essential information such as name, date of birth, gender, contact details, and medical history.
2. **Health Metric Tracking**: Implement functionality to log various health metrics for each patient, including but not limited to blood pressure, heart rate, weight, and glucose levels. These metrics should be timestamped and stored chronologically.
3. **Report Generation**: Develop a feature that generates comprehensive health reports for each patient based on their recorded metrics. Reports should include trends, anomalies, and any significant changes over time.
4. **User Authentication**: Ensure secure access to the application through user authentication. Only authorized users should be able to view and modify patient records.
5. **Data Visualization**: Incorporate visual representations of the tracked health metrics to help healthcare providers quickly identify patterns and trends.

To achieve these goals, you will heavily rely on the Aidbox SDK for Python. Specifically, utilize its core features such as resource management, query capabilities, and event handling to streamline the development process. Additionally, consider integrating other Python libraries like Pandas for data manipulation and Matplotlib for data visualization to enhance the application's functionality.

This project aims to demonstrate the versatility and efficiency of the Aidbox SDK for Python in building robust healthcare applications.