aind-session-json-service-client

v0.1.5 safe
4.0
Medium Risk

aind-session-json-service

🤖 AI Analysis

Final verdict: SAFE

The package exhibits low risks across all assessed categories with no detected malicious activities. However, the metadata risk suggests potential low maintenance, which could indicate future issues if not addressed.

  • No network calls or shell executions detected.
  • Metadata risk indicates potential low maintenance efforts.
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 direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets and credentials.
  • Metadata: The package shows some signs of low maintenance and effort, but there are no clear indicators of malicious intent.

📦 Package Quality Overall: Low (3.6/10)

✦ High Test Suite 9.0

Test suite present — 12 test file(s) found

  • 12 test file(s) detected (e.g. test_default_api.py)
○ 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

  • 36 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: openapitools.org

✓ 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 "OpenAPI Generator community" 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 aind-session-json-service-client 
Your task is to develop a simple yet powerful data management tool for researchers using the Python package 'aind-session-json-service-client'. This tool will enable users to easily store, retrieve, and manage their experimental session data in a structured format. The application will serve as a bridge between local files and a cloud-based service, allowing seamless integration of data across different devices and platforms.

### Key Features:
- **Session Management**: Users should be able to create new sessions, save data associated with these sessions, and load existing sessions.
- **Data Storage**: Data will be stored both locally and on a remote server using the 'aind-session-json-service-client' package. This ensures redundancy and accessibility from any device.
- **Search Functionality**: Implement a search feature that allows users to find specific sessions based on metadata such as date, experiment type, or user-defined tags.
- **User Interface**: Design a clean, intuitive graphical user interface (GUI) using Tkinter or a similar library to make the application user-friendly.
- **Security**: Ensure that sensitive information is encrypted before being sent to the server.

### Utilizing 'aind-session-json-service-client':
- Use the package to connect to the cloud service where session data will be stored.
- Implement methods for uploading, downloading, and listing available sessions on the server.
- Handle errors gracefully when interacting with the server, providing meaningful feedback to the user.

### Steps to Build the Application:
1. **Setup Project Environment**: Create a virtual environment and install necessary packages including 'aind-session-json-service-client'.
2. **Design Database Schema**: Define how session data will be structured both locally and remotely.
3. **Develop Core Functions**: Write functions to handle session creation, data storage, and retrieval using the 'aind-session-json-service-client' package.
4. **Implement GUI**: Develop a GUI that allows users to interact with the session data through a friendly interface.
5. **Test Thoroughly**: Test the application under various scenarios to ensure reliability and usability.
6. **Deploy**: Once tested, deploy the application so it can be used by researchers to manage their session data efficiently.

This project not only enhances the utility of the 'aind-session-json-service-client' package but also provides a valuable tool for researchers managing complex experimental data.

💬 Discussion Feed

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