anam

v0.4.0 suspicious
3.0
Low Risk

Official Python SDK for Anam AI - Real-time AI avatar streaming

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of legitimate functionality but raises concerns due to its network activity and metadata issues. It's recommended to proceed with caution and verify the legitimacy of its network interactions.

  • network risk due to HTTP POST requests
  • metadata risk due to new/inactive maintainer account
Per-check LLM notes
  • Network: The observed network patterns suggest the package is making HTTP POST requests, which could be legitimate for API interactions or data submission. Further investigation is needed to confirm legitimacy.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, indicating potential unreliability.

📦 Package Quality Overall: Medium (6.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.anam.ai
  • Detailed PyPI description (18845 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
  • 64 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 5 unique contributor(s) across 40 commits in anam-org/python-sdk
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • %s", url) async with aiohttp.ClientSession() as session: async with session.post(url, heade
  • %s", url) async with aiohttp.ClientSession() as session: async with session.post(
✓ 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: anam.ai>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository anam-org/python-sdk appears legitimate

⚠ 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 anam 
Create a real-time interactive avatar streaming application using the 'anam' Python package. Your goal is to develop a user-friendly interface where users can input text, and an AI-generated avatar will respond with a personalized message. This application should leverage the 'anam' package's capabilities to stream AI avatars in real-time, making it feel like the avatar is having a conversation with the user. Here are the steps and features you should consider implementing:

1. **Setup**: Install the 'anam' package and set up a basic Flask or Django web framework for your application.
2. **User Interface**: Design a simple yet engaging UI where users can type their messages into a chat box.
3. **Real-Time Interaction**: Utilize the 'anam' package to stream an AI avatar that responds to the user's input in real-time. The avatar should change its expression and posture based on the context of the message.
4. **Personalization**: Allow users to choose from a variety of pre-defined avatars or even customize their own. The customization options could include selecting different appearances, voice tones, and backgrounds.
5. **Chat History**: Implement a feature that stores and displays previous interactions between the user and the avatar, allowing for a more conversational experience.
6. **Feedback Loop**: Incorporate a mechanism where users can rate the avatar's responses, which can be used to improve the quality of future interactions.
7. **Security and Privacy**: Ensure all user inputs and interactions are handled securely, with proper data encryption and privacy policies in place.

This project aims to showcase the potential of real-time AI avatars in enhancing human-computer interaction, making it a valuable tool for educational, entertainment, and customer service applications.

💬 Discussion Feed

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