AI Analysis
Final verdict: SUSPICIOUS
The package shows low risk in direct malicious activities but raises concerns due to its minimal maintainer history and lack of author details, suggesting potential supply-chain risks.
- Minimal maintainer history
- No author details provided
Per-check LLM notes
- Network: No network calls detected, which is normal for a database package unless it requires external services.
- Shell: No shell execution detected, indicating no immediate risk of executing arbitrary commands.
- Obfuscation: No obfuscation patterns detected, suggesting legitimate use or absence of intentional code obfuscation.
- Credentials: No credential harvesting patterns detected, indicating no immediate risk of secret or sensitive data extraction.
- Metadata: The package is new with minimal maintainer history and no author details, raising suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (4.8/10)
◈ Medium
Test Suite
6.0
Partial test coverage signals detected
1 test file(s) detected (e.g. test_alphadb.py)
◈ Medium
Documentation
7.0
Some documentation present
Documentation URL: "Documentation" -> https://alphadb.w-kuipers.comDetailed PyPI description (1957 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
8.0
Active multi-contributor project
4 unique contributor(s) across 100 commits in w-kuipers/alphadbSmall but multi-author team (3–4 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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository w-kuipers/alphadb appears legitimate
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 alphadb-postgres
Create a mini-application named 'EnvSync' which is designed to synchronize PostgreSQL database schemas and data across different environments (development, staging, production). This application will utilize the 'alphadb-postgres' package to manage database versioning and migrations. Here’s a detailed step-by-step guide on what EnvSync should achieve: 1. **Database Schema Definition**: Use JSON files to define the schema of the PostgreSQL databases. These JSON files should include table definitions, column types, constraints, indexes, etc. 2. **Version Control**: Implement a version control system for the database schema changes. Each change should be associated with a specific version number, and these versions should be managed using 'alphadb-postgres'. 3. **Migration Management**: Write migration scripts that automatically apply or roll back schema changes based on the current state of the database. These scripts should be written in Python and should use 'alphadb-postgres' to execute the necessary SQL commands. 4. **Environment Synchronization**: Develop a feature that allows users to specify which environments they want to synchronize. For example, if a new table is added in the development environment, the user should be able to push this change to the staging environment and then to the production environment. 5. **Data Migration**: Besides schema synchronization, implement functionality to migrate data between environments. This should support selective data migration (e.g., migrating only certain rows or columns). 6. **Rollback Mechanism**: Ensure there is a rollback mechanism in place so that users can revert to previous versions of their database schema if needed. 7. **User Interface**: Create a simple command-line interface (CLI) for interacting with EnvSync. Users should be able to initiate migrations, view the current database state, and manage versions through this CLI. 8. **Documentation**: Provide comprehensive documentation detailing how to install EnvSync, define database schemas, create migrations, and perform environment synchronization. By leveraging 'alphadb-postgres', you'll be able to streamline database management tasks and ensure consistency across multiple environments. Focus on making the process as automated and user-friendly as possible.
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