anchorite

v0.5.1 suspicious
4.0
Medium Risk

Spatial text alignment and resolution for document OCR

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low individual risk scores across various categories but exhibits some metadata anomalies such as missing maintainer information and a GitHub repository link, which raises concerns about its provenance.

  • Lack of maintainer information
  • Absence of GitHub repository link
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution detected, indicating no immediate risk from command injection or similar attacks.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting secure handling of sensitive information.
  • Metadata: The package shows some red flags, including lack of maintainer information and a GitHub repository link, but there are no clear signs of typosquatting or malicious intent.

📦 Package Quality Overall: Low (4.8/10)

✦ High Test Suite 9.0

Test suite present — 12 test file(s) found

  • 12 test file(s) detected (e.g. test_anchorite.py)
◈ Medium Documentation 7.0

Some documentation present

  • 1 documentation file(s) (e.g. conf.py)
  • Detailed PyPI description (23304 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

  • 106 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

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 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 anchorite 
Create a Python-based desktop application that utilizes the 'anchorite' package to enhance the accuracy of Optical Character Recognition (OCR) on scanned documents. This application will allow users to upload scanned PDFs or images of documents and then use anchorite to align and resolve any misalignments in the text detected by the OCR process. The app should also offer advanced features such as automatic detection of the language used in the document and support for multiple languages. Additionally, the application should provide an intuitive user interface where users can view the original scanned image alongside the corrected OCR output, allowing them to manually adjust any errors if necessary. The final product should save the corrected text as a searchable PDF or editable text file. Use the anchorite package to handle spatial text alignment and resolution, ensuring that the OCR output is as accurate as possible.

💬 Discussion Feed

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