atoti-client-storage-gcp

v0.9.15 safe
2.0
Low Risk

Code to load data from Google Cloud Storage

🤖 AI Analysis

Final verdict: SAFE

The package shows very low risks across all categories with no network calls detected, which is unusual but may be due to its specific functionality. The maintainer's single package does not raise significant concerns.

  • Low risk scores across all assessed categories.
  • No network calls detected.
Per-check LLM notes
  • Network: Low risk; no network calls detected, which is unusual but not necessarily indicative of malicious activity without context on package functionality.
  • Shell: Very low risk; no shell execution detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account, but no other red flags were identified.

📦 Package Quality Overall: Low (4.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.activeviam.com/products/atoti/python-sdk/0.9.15
○ 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

  • Classifier: Typing :: Typed
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in atoti/atoti
  • Two distinct contributors found

🔬 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: activeviam.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository atoti/atoti appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ActiveViam" 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 atoti-client-storage-gcp 
Create a data analytics dashboard application using Python that leverages the 'atoti-client-storage-gcp' package to fetch and process datasets stored in Google Cloud Storage. Your goal is to design a user-friendly interface where users can select specific datasets they want to analyze and then visualize key insights from these datasets in real-time. The application should have the following functionalities:

1. **User Authentication**: Implement a simple authentication system to ensure only authorized users can access the datasets.
2. **Dataset Selection**: Allow users to choose from a list of available datasets hosted on Google Cloud Storage. Users should be able to see basic metadata about each dataset before selecting it.
3. **Data Loading**: Utilize the 'atoti-client-storage-gcp' package to securely download the selected datasets from Google Cloud Storage.
4. **Data Preprocessing**: Provide options for basic data preprocessing such as filtering, sorting, and aggregation based on user input.
5. **Visualization**: Integrate a visualization library (e.g., Plotly or Matplotlib) to create interactive charts and graphs based on the preprocessed data.
6. **Real-Time Updates**: Ensure that any changes made to the dataset in Google Cloud Storage are reflected in the application within a reasonable timeframe.
7. **Documentation and Help**: Include comprehensive documentation and tooltips throughout the application to guide users through its features.

The 'atoti-client-storage-gcp' package will play a crucial role in enabling seamless interaction with Google Cloud Storage, ensuring that data retrieval is efficient and secure. Additionally, consider adding error handling mechanisms to manage potential issues like network failures or unauthorized access attempts.

💬 Discussion Feed

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