avido

v1.73.0 suspicious
4.0
Medium Risk

The official Python library for the Avido API

🤖 AI Analysis

Final verdict: SUSPICIOUS

While the package shows no direct signs of malicious activity such as network calls or shell execution, the metadata risk due to insecure links and lack of author information raises some suspicion regarding its origin and legitimacy.

  • Metadata risk due to insecure links
  • Missing author name
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell executions detected, indicating the package does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The presence of non-secure links and a missing author name raises concerns about the package's legitimacy and security.

📦 Package Quality Overall: Low (4.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (19038 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 474 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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: avidoai.com>

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://my.test.server.example.com:8083
  • Non-HTTPS external link: http://my.test.proxy.example.com
⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 avido 
Your task is to develop a Python-based weather tracking application using the 'avido' package, which provides access to the Avido API. This application will allow users to monitor weather conditions for any location they specify, storing historical data and providing forecasts. Here’s a step-by-step guide on how to build this application:

1. **Setup Environment**: Begin by setting up your Python environment. Install the 'avido' package along with other necessary libraries such as 'requests' for handling HTTP requests and 'pandas' for data manipulation.
2. **API Configuration**: Configure the Avido API credentials. Create a function to authenticate with the API and retrieve an access token. Use this token to make authenticated requests to the Avido API endpoints.
3. **Data Retrieval**: Implement functions to fetch current weather data, historical weather data, and forecast data for a specified location. Each function should accept parameters like location name or coordinates and return relevant weather information.
4. **Data Storage**: Design a mechanism to store the retrieved weather data locally. Consider using SQLite for simplicity, but also explore more advanced options like PostgreSQL if you prefer relational databases. Ensure that the data structure allows easy querying and updating.
5. **User Interface**: Develop a simple command-line interface (CLI) for users to interact with the application. Users should be able to input locations, view current weather, historical data, and forecasts. Additionally, provide options to save and load data from storage.
6. **Advanced Features**: To enhance the application, consider adding features like automatic data updates at regular intervals, graphical representation of weather trends over time, and alerts for extreme weather conditions.
7. **Testing and Documentation**: Thoroughly test your application to ensure all functionalities work correctly. Document your code and write usage instructions to help others understand and use your application effectively.

Throughout the development process, utilize the 'avido' package’s core features to interact with the Avido API, ensuring efficient and reliable data retrieval. Your goal is to create a robust, user-friendly application that showcases the capabilities of the 'avido' package.

💬 Discussion Feed

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