alphaessopenapi

v0.0.19 safe
3.0
Low Risk

A python library to retrieve energy statistics from your Alpha ESS inverter by polling the Official Alpha ESS Open API.

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe based on its network, shell, obfuscation, and credential risks being low. However, the metadata suggests a new or less active maintainer, which could warrant closer monitoring.

  • Low risk scores across network, shell, obfuscation, and credential checks.
  • Maintainer has only one other package, indicating potential need for further verification.
Per-check LLM notes
  • Network: The network call patterns indicate the package uses aiohttp for asynchronous HTTP requests, which is common and expected behavior for packages interacting with APIs.
  • Shell: No shell execution patterns were detected, indicating there is no immediate risk associated with executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, suggesting a new or less active account which may warrant further investigation.

📦 Package Quality Overall: Low (3.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3237 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 8 unique contributor(s) across 100 commits in CharlesGillanders/alphaess-openAPI
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • self.session = session or aiohttp.ClientSession() self._created_session = not session self.t
  • } async with aiohttp.ClientSession() as session: tasks = [] for name, p
✓ 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: charlesgillanders.com

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CharlesGillanders/alphaess-openAPI appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Charles Gillanders" 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 alphaessopenapi 
Create a real-time monitoring dashboard for an Alpha ESS inverter using the 'alphaessopenapi' Python package. This dashboard will allow users to visualize their solar panel system performance in real-time, providing insights into energy generation and consumption patterns. Here’s a detailed breakdown of what the application should accomplish:

1. **Setup**: Begin by installing the 'alphaessopenapi' package and setting up authentication credentials required to access the Alpha ESS Open API.
2. **Data Retrieval**: Use 'alphaessopenapi' to fetch real-time and historical data about energy production and consumption from the Alpha ESS inverter.
3. **Dashboard Creation**: Develop a user-friendly dashboard using a web framework like Flask or Django. This dashboard should display key metrics such as current power output, total energy produced, and any alerts or notifications from the inverter.
4. **Visualization**: Implement charts and graphs using libraries like Plotly or Matplotlib to visualize trends in energy production over time.
5. **Alert System**: Integrate an alert system that notifies users via email or SMS if the energy production drops below a certain threshold or if there are maintenance issues.
6. **Customization**: Allow users to customize the dashboard layout and set their own thresholds for alerts based on their specific needs.
7. **Security**: Ensure that all user data and API keys are stored securely, adhering to best practices for handling sensitive information.
8. **Documentation**: Provide comprehensive documentation for both end-users and developers, detailing how to install and use the application, along with troubleshooting tips.

This project aims to leverage the capabilities of the 'alphaessopenapi' package to create a powerful tool for managing and optimizing solar energy systems.

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