babylab

v0.9.6 suspicious
4.0
Medium Risk

A GUI for the SJD Babylab REDCap database

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has moderate metadata risks due to an anonymous maintainer and lack of community engagement, which raises concerns about its origin and intentions.

  • Metadata risk 6/10 due to anonymous maintainer and lack of community engagement
  • No direct evidence of malicious activity
Per-check LLM notes
  • Network: The use of network calls to post data suggests the package may be communicating with an external service, which is not inherently malicious but should be reviewed for data sensitivity and purpose.
  • 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 package shows some red flags such as an anonymous maintainer and lack of community engagement, indicating potential risk.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

  • Test runner config found: conftest.py
  • 4 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/NeuroDevComp/babylab-redcap#readme
  • Detailed PyPI description (1133 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 44 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in NeuroDevComp/babylab-redcap
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • aise MissingEnvURI() r = requests.post(uri, data=fields, timeout=timeout) r.raise_for_status()
✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 babylab 
Your task is to develop a mini-application that serves as a user-friendly interface for researchers and staff at the SJD Babylab to manage their data stored in the REDCap database. This application will leverage the 'babylab' Python package to provide a graphical user interface (GUI) that simplifies common tasks such as data entry, retrieval, and analysis. The application should include the following key features:

1. **User Authentication**: Implement a login system that verifies users against the Babylab's authentication protocols. Only authenticated users should have access to the application.
2. **Data Entry Form**: Design a form-based interface for entering new data into the REDCap database. Ensure that the fields match those required by the Babylab's data collection templates.
3. **Data Retrieval**: Provide a search feature that allows users to retrieve specific records from the database based on criteria such as participant ID, date range, or study type.
4. **Data Visualization**: Integrate simple charts or graphs to visualize key data points, such as participant demographics or study outcomes over time.
5. **Report Generation**: Enable users to generate PDF reports of their data entries or search results for easy sharing and printing.
6. **Error Handling and Validation**: Implement robust error handling and input validation to ensure data integrity and prevent common mistakes during data entry.

To achieve these goals, you will need to utilize the 'babylab' package effectively. Specifically, you should use its functions for connecting to the Babylab's REDCap instance, authenticating users, performing CRUD (Create, Read, Update, Delete) operations on records, and exporting data for visualization and report generation. Your application should be designed with a clean, intuitive UI that enhances usability and efficiency for the Babylab's team.

💬 Discussion Feed

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