autospace-by-veera

v0.1.2 safe
3.0
Low Risk

Professional Gradio application for converting Python code into deployable Hugging Face Spaces.

🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risk across all assessed categories, with no indications of malicious activities or high-risk behaviors.

  • Low network and shell execution risks
  • No signs of obfuscation or credential harvesting
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical and safe.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low activity and metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • 3 test file(s) detected (e.g. test_converter.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1381 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 5.0

Partial type annotation coverage

  • 16 type-annotated function signatures detected in source
○ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Veerakumar C B" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with autospace-by-veera 
Create a fully-functional mini-application using the 'autospace-by-veera' package that converts Python scripts into deployable Hugging Face Spaces. Your application should allow users to upload their Python scripts, specify any required dependencies, and then automatically generate and deploy a Hugging Face Space from the uploaded script.

Steps to follow:
1. Design a user-friendly interface using Gradio that allows users to upload their Python files.
2. Implement a feature that allows users to input or select the necessary Python packages as dependencies.
3. Utilize the 'autospace-by-veera' package to process the uploaded Python file and the specified dependencies.
4. Automate the deployment of the generated Hugging Face Space and provide users with a direct link to their deployed Space.
5. Ensure error handling is implemented to manage issues such as missing dependencies or incorrect Python syntax.

Suggested Features:
- Support for multiple file uploads (for projects with multiple Python scripts).
- An option to preview the generated Hugging Face Space before deployment.
- Integration with version control systems like GitHub to pull Python scripts directly from repositories.
- Detailed logs and notifications for each step of the conversion and deployment process.

💬 Discussion Feed

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