AI Analysis
Final verdict: SAFE
The package appears to be safe with no network calls, shell executions, or obfuscation patterns detected. The metadata suggests low maintenance but does not indicate any malicious activities.
- No network calls
- No shell executions
- Low maintenance suggested by metadata
Per-check LLM notes
- Network: No network calls detected, which is normal for most Python packages unless they require online services.
- Shell: No shell executions detected, indicating the package does not attempt to execute system commands.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows some signs of low maintenance but does not exhibit clear malicious intent based on the provided signals.
Package Quality Overall: Low (2.0/10)
○ 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
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
140 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 4.0
2 maintainer concern(s) found
Author "Aspose" 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 aspose-barcode-for-python-via-java
Create a barcode generator and scanner utility using the 'aspose-barcode-for-python-via-java' package. This utility will allow users to generate barcodes from text inputs and scan barcodes from images to retrieve the encoded information. Here’s a detailed step-by-step guide on how to build this mini-app: 1. **Project Setup**: Begin by setting up your development environment with Python installed. Install the 'aspose-barcode-for-python-via-java' package via pip. 2. **User Interface Design**: Develop a simple command-line interface (CLI) for easy interaction. Alternatively, create a basic GUI using Tkinter if you prefer a graphical user experience. 3. **Barcode Generation**: Implement a feature that allows users to input text, which will then be converted into a barcode image. Ensure the barcode type (e.g., Code128, QRCode) is selectable. 4. **Barcode Scanning**: Add functionality to read barcodes from uploaded images. The utility should output the decoded text or data contained within the barcode. 5. **Error Handling and Validation**: Incorporate robust error handling mechanisms to manage invalid inputs or issues during barcode processing. 6. **Documentation and Testing**: Write comprehensive documentation detailing how to use each feature of the utility. Perform thorough testing to ensure reliability. Suggested Features: - Support for multiple barcode types including Code128, QRCode, DataMatrix, etc. - Option to save generated barcodes locally or directly display them. - Advanced scanning options like specifying barcode types or areas of interest in images. - User-friendly prompts and feedback messages throughout the app. How 'aspose-barcode-for-python-via-java' is Utilized: - For generating barcodes, utilize the package’s API to convert text into barcode images. - For scanning, leverage the package’s capabilities to decode barcodes present in images and extract the encoded data. - Explore additional functionalities provided by the package to enhance the utility’s features.
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