algoliasearch

v4.41.1 safe
2.0
Low Risk

A fully-featured and blazing-fast Python API client to interact with Algolia.

🤖 AI Analysis

Final verdict: SAFE

The package algoliasearch v4.41.1 exhibits very low risk based on the analysis notes provided. There are no indications of malicious activities such as shell execution, obfuscation, or credential harvesting.

  • Low network risk with expected API interactions
  • No signs of shell execution, obfuscation, or credential harvesting
Per-check LLM notes
  • Network: Expected to have network calls related to Algolia API services, but none detected.
  • Shell: Shell execution is not expected in a typical package like algoliasearch.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows no signs of typosquatting or suspicious email domains. The maintainer's account seems new or less active.

📦 Package Quality Overall: Low (4.6/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 2 test file(s) detected (e.g. ab_test.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3721 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

  • 239 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in algolia/algoliasearch-client-python
  • Single author but highly active (100 commits)

🔬 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 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://stackoverflow.com/questions/tagged/algolia
✓ Git Repository History

Repository algolia/algoliasearch-client-python appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Algolia Team" 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 algoliasearch 
Create a Python-based search engine mini-app using the 'algoliasearch' package. This app will serve as a simple yet powerful tool for indexing and searching through a collection of book titles and descriptions. Here’s how you can approach building this application:

1. **Setup**: Begin by installing the 'algoliasearch' package via pip. Also, create an account on Algolia to get your Application ID and API key.
2. **Data Collection**: Gather a dataset of book titles and descriptions. For simplicity, you can start with a hardcoded list of dictionaries, each containing 'title', 'description', and 'author'.
3. **Index Creation**: Use the 'algoliasearch' package to create an index in your Algolia account. This index will store the book data.
4. **Indexing Data**: Write functions to add and update records in the Algolia index. Ensure that each book entry is properly formatted according to Algolia's requirements.
5. **Search Functionality**: Implement a search feature that allows users to query the index based on keywords from the book titles or descriptions. Utilize Algolia's powerful search capabilities, such as typo tolerance, ranking rules, and facets for filtering.
6. **User Interface**: Develop a basic command-line interface (CLI) where users can input their search queries and see the results. Optionally, explore creating a simple web UI using Flask or another lightweight framework.
7. **Enhancements**: Consider adding advanced features like pagination, sorting options, and more sophisticated filters. Also, think about implementing a feature to delete or modify existing entries in the index.
8. **Documentation**: Finally, document your code thoroughly, explaining how each part of the application works and how it integrates with the 'algoliasearch' package.

By completing this project, you'll gain hands-on experience with Algolia's powerful search functionalities and learn how to effectively use the 'algoliasearch' package in real-world applications.