arches-component-lab

v0.0.1a13 safe
3.0
Low Risk

(No description)

🤖 AI Analysis

Final verdict: SAFE

The package presents minimal risks with no network calls, shell execution, or credential harvesting activities detected. The metadata risk is slightly elevated due to non-secure links, but this alone does not indicate malicious intent.

  • No network calls detected
  • No shell execution detected
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution detected, indicating the package does not perform any system command executions.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has non-secure links but no other suspicious flags. The maintainer has only one package, which could indicate a new or less active account.

📦 Package Quality Overall: Medium (5.2/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. test_settings.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://arches.readthedocs.io
  • Detailed PyPI description (6299 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 10 unique contributor(s) across 100 commits in archesproject/arches-component-lab
  • Active community — 5 or more distinct contributors

🔬 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 score 4.0

Found 2 suspicious link(s) on the package page

  • Non-HTTPS external link: http://archesproject.org/
  • Non-HTTPS external link: http://archesproject.org/documentation/
✓ Git Repository History

Repository archesproject/arches-component-lab appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Arches Project" 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 arches-component-lab 
Create a mini-application that serves as a user-friendly interface for managing and visualizing geographic data within the Arches platform. This application will leverage the 'arches-component-lab' package to provide a seamless experience for users to interact with complex spatial data. The app should allow users to perform the following actions:

1. **Data Import**: Users should be able to import their own geospatial datasets (e.g., CSV files with coordinates, GeoJSON files). The application will utilize the data management components from 'arches-component-lab' to handle the import process efficiently.

2. **Data Visualization**: Once imported, users can visualize the data on a map. The application should use the mapping components provided by 'arches-component-lab' to display the data points on an interactive map, allowing users to zoom, pan, and explore the data visually.

3. **Custom Data Filters**: Implement a feature where users can apply filters to their data based on various attributes (e.g., date ranges, categorical values, numerical thresholds). Use the filtering capabilities offered by 'arches-component-lab' to enable dynamic filtering.

4. **Interactive Data Exploration**: Provide tools for users to explore the data interactively. This could include tooltips that show more information about each data point when clicked, or the ability to draw areas on the map to highlight specific regions.

5. **Export Functionality**: Allow users to export the filtered and explored data back into a file format of their choice (e.g., CSV, GeoJSON), utilizing the export utilities provided by 'arches-component-lab'.

The application should be built using Vue 3 and styled with PrimeVue, ensuring a modern and responsive design. Make sure to thoroughly document your code and include comments where necessary to explain how you're utilizing different parts of the 'arches-component-lab' package.

💬 Discussion Feed

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