aiotankerkoenig

v0.5.3 safe
4.0
Medium Risk

Async Python 3 client for tankerkoenig.de

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe based on the low risk scores across all categories, except for metadata risk which is slightly higher due to incomplete author details and the author having only one package.

  • Low network, shell, obfuscation, and credential risks.
  • Moderate metadata risk due to incomplete author information and single-package authorship.
Per-check LLM notes
  • Network: The observed network call patterns indicate normal HTTP requests which align with the package's functionality of interacting with an API.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author's details are incomplete and the author has a single package, indicating potential unreliability.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4817 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Type checker (mypy / pyright / pytype) referenced in project
  • 23 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 4 unique contributor(s) across 100 commits in jpbede/aiotankerkoenig
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • .""" async with ( aiohttp.ClientSession() as session, Tankerkoenig( session=sess
  • .json"), ) async with aiohttp.ClientSession() as session: tankerkoenig = Tankerkoenig(api_key="a
✓ 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: bnck.me>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://keepachangelog.com/en/1.0.0/
  • Non-HTTPS external link: http://semver.org/spec/v2.0.0.html
✓ Git Repository History

Repository jpbede/aiotankerkoenig 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 aiotankerkoenig 
Create a real-time fuel price tracker application using the 'aiotankerkoenig' package in Python. This application will allow users to monitor fuel prices at nearby gas stations, receive alerts when prices drop below a certain threshold, and view historical price trends.

Steps:
1. Set up your Python environment with the necessary packages including 'aiotankerkoenig'.
2. Design a user-friendly interface where users can input their location and select the type of fuel they are interested in.
3. Use 'aiotankerkoenig' to fetch live data on fuel prices from tankerkoenig.de based on the user's preferences.
4. Implement a feature to display a list of nearby gas stations sorted by distance or price.
5. Add functionality for setting price alerts - users should be able to specify a maximum price and receive notifications if any station drops below that price.
6. Integrate a simple graphing library (like matplotlib) to show historical price trends over time.
7. Ensure the application is asynchronous to handle multiple requests efficiently without blocking.
8. Test the application thoroughly with various locations and scenarios to ensure reliability.

Suggested Features:
- User authentication for saving preferences and receiving personalized alerts.
- A map integration showing the locations of gas stations.
- Historical price data storage for trend analysis.
- Integration with popular messaging platforms for alert notifications.

How 'aiotankerkoenig' is Utilized:
- The 'aiotankerkoenig' package is used primarily for fetching live data from tankerkoenig.de's API asynchronously. It provides methods to query fuel prices by location, station ID, or other criteria, making it ideal for building real-time applications that require frequent updates.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!