AI Analysis
Final verdict: SAFE
The package shows no signs of malicious activity, with low risks across all categories except metadata, where the maintainer's account status is concerning but insufficient to classify the package as malicious.
- Low network, shell, obfuscation, and credential risks.
- Maintainer's account is new or inactive, raising metadata risk.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, which is expected for a library focused on asynchronous SQLite operations.
- Obfuscation: No obfuscation patterns detected, suggesting normal behavior.
- Credentials: No credential harvesting patterns detected, indicating safe handling of secrets.
- Metadata: The maintainer has a new or inactive account and lacks author details, which raises some concern but does not definitively indicate malicious intent.
Package Quality Overall: Medium (5.2/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
1 test file(s) detected (e.g. tests_db.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (5607 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
Type checker (mypy / pyright / pytype) referenced in project21 type-annotated function signatures detected in source
◈ Medium
Multiple Contributors
6.0
Limited contributor diversity
2 unique contributor(s) across 34 commits in treizd/AioEasySqliteTwo distinct contributors found
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: gmail.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository treizd/AioEasySqlite appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 aioeasysqlite
Create a fully functional mini-application using the 'aioeasysqlite' Python package, which simplifies asynchronous database operations. Your task is to develop a simple library management system that allows users to add, update, delete, and search books in a SQLite database. The application should also provide a feature to display all books currently in the library. Here are the steps and features you need to implement: 1. Set up a basic SQLite database using 'aioeasysqlite'. Define a table named 'books' with columns: id (integer, primary key), title (text), author (text), publication_year (integer). 2. Implement a function to add a new book to the database. This function should take parameters for title, author, and publication year, and use 'aioeasysqlite' to insert these into the 'books' table. 3. Create a function to update the details of an existing book. This function should accept the book's ID and the updated information (title, author, publication year), then use 'aioeasysqlite' to modify the relevant record in the 'books' table. 4. Develop a delete function that removes a book from the database based on its ID, utilizing 'aioeasysqlite' to execute the deletion. 5. Add a search functionality that allows users to find books either by their ID, title, or author. The search should return matching records from the 'books' table. 6. Finally, implement a feature to list all books in the library, fetching all rows from the 'books' table using 'aioeasysqlite'. Use 'aioeasysqlite' throughout your application to ensure efficient and easy handling of database interactions. Remember to handle exceptions and errors gracefully, providing meaningful feedback to the user if something goes wrong during any operation.