arvel

v0.15.0 safe
4.0
Medium Risk

The Laravel of Python — FastAPI + Pydantic + SQLAlchemy, end-to-end type-safe.

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories with the exception of potential obfuscation, which is rated moderately due to the presence of base64 decoding. However, there is no concrete evidence of malicious intent.

  • Low network and shell execution risks.
  • Potential for obfuscation noted, but no clear signs of malicious activity.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or privilege escalation.
  • Obfuscation: The use of base64 decoding suggests possible obfuscation, but it could also be a legitimate use in a cryptographic context.
  • Credentials: No clear patterns indicate credential harvesting.
  • Metadata: The author has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_http_smoke.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://arvel.dev
  • Detailed PyPI description (4000 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

  • Classifier: Typing :: Typed
  • 257 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in mohamed-rekiba/arvel
  • Two distinct contributors found

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • x(_APP_KEY_PREFIX) return base64.b64decode(payload, validate=True) def _normalise_expires(expires_at:
✓ 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 mohamed-rekiba/arvel appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Arvel contributors" 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 arvel 
Create a microblogging platform using the 'arvel' package which combines FastAPI, Pydantic, and SQLAlchemy to provide a seamless development experience. This platform will allow users to register, log in, create posts, view posts from other users, and follow other users. Additionally, users should be able to comment on posts and like/dislike posts as well. The application should also include user authentication and authorization features to ensure secure interactions.

Here are the key steps and features you need to implement:
1. User Registration & Login: Users should be able to sign up with their email and password. After registration, they should receive a confirmation email to verify their account. For login, they should be able to authenticate using their email and password.
2. Profile Management: Users can update their profile information such as name, bio, and profile picture. They should also have the ability to change their password.
3. Post Creation & Viewing: Users can create posts with text and images. Other users should be able to browse through all posts or view posts from specific users they follow.
4. Following Mechanism: Users can follow other users and see updates from the users they follow.
5. Comments & Likes: Users should be able to comment on posts and like/dislike posts. The system should also track and display the number of likes and comments each post receives.
6. Notifications: Implement a notification system where users receive alerts when someone follows them, comments on their posts, or likes their posts.
7. Search Functionality: Users should be able to search for other users by username or email.
8. API Documentation: Provide comprehensive documentation for the APIs, explaining endpoints, request/response formats, and examples.

Use the 'arvel' package to set up the FastAPI application with Pydantic models for data validation and SQLAlchemy for database operations. Ensure that the entire application is type-safe and adheres to best practices in web development.

💬 Discussion Feed

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