AI Analysis
Final verdict: SAFE
The package anakonda.py v1.0.0 exhibits no signs of malicious activity or obfuscation and does not require network access or shell execution. Given the low scores across all categories, it is considered safe.
- No network calls
- No shell execution
- No obfuscation
- No credential harvesting
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
- Shell: No shell execution detected, reducing the likelihood of potential malicious activities.
- Obfuscation: No obfuscation patterns detected, suggesting low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
Package Quality Overall: Low (1.2/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
○ Low
Documentation
1.0
No documentation detected
No documentation URL, doc files, or meaningful description found
○ 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
○ Low
Multiple Contributors
1.0
Unable to verify contributor count: no GitHub repository found
No GitHub repository linked — contributor count unavailable
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
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packagePackage is very new: uploaded 3 day(s) agoAuthor 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 anakonda.py
Create a fully functional mini-app using the 'anakonda.py' package, which is a high-performance web framework for Python. Your task is to develop a simple blog application where users can create accounts, log in, write posts, and comment on other posts. This app should also allow users to follow other users and see a feed of posts from followed users. Here are the steps and features you need to implement: 1. **User Authentication**: Implement a secure login system allowing users to sign up, log in, and log out. Use the 'anakonda.py' package's routing capabilities to handle different user actions such as registration, login, and logout. 2. **Post Management**: Allow logged-in users to write new posts and view their own posts. Users should be able to edit and delete their posts. Use 'anakonda.py' to route requests for creating, reading, updating, and deleting posts. 3. **Comment System**: Enable users to comment on posts. Each post should have its own comments section where users can leave messages. Utilize 'anakonda.py' to manage the routes and logic for adding and displaying comments. 4. **User Following**: Implement a feature where users can follow other users. When a user follows another, they should start seeing posts from the followed user in their feed. Leverage 'anakonda.py' for handling the relationships between users and the display of feeds. 5. **Profile Page**: Create a profile page for each user where they can view their posts and followers. Use 'anakonda.py' to structure these pages and link them properly within your application. 6. **Feed Display**: Design a dynamic feed that updates based on the users a person is following. This feed should show posts from followed users in chronological order. Apply 'anakonda.py' to dynamically generate and serve this content. 7. **Styling and Layout**: Although 'anakonda.py' focuses on backend functionality, ensure your application has a clean and user-friendly interface. You can use HTML/CSS or any templating engine supported by 'anakonda.py' to style your application. Remember to utilize 'anakonda.py' throughout your development process, leveraging its routing, middleware, and other core features to build a robust and efficient application. Additionally, consider implementing error handling and security best practices to protect user data.
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