atoti-server-azure

v0.9.15 suspicious
4.0
Medium Risk

Deprecated: use atoti-server-storage-azure instead

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal risks in terms of network usage, shell execution, and obfuscation. However, the metadata risk due to the author having only one package raises some concerns about potential new or less active accounts.

  • Low risk in network, shell, and obfuscation
  • Metadata risk due to single-package author
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external services.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The author has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (3.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ 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

  • 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-server-azure 
Develop a data management and analysis mini-application using the 'atoti-server-azure' package (note: it is deprecated, so consider using 'atoti-server-storage-azure' instead). Your application should allow users to easily upload datasets from Azure Blob Storage, perform basic data transformations, and generate simple statistical analyses. Here’s a step-by-step guide on what your application should include:

1. **User Interface**: Create a clean and intuitive UI where users can interact with their data. Include options for logging in/out, uploading files, selecting datasets, and viewing results.
2. **Data Upload**: Implement functionality that allows users to upload CSV files directly from their Azure Blob Storage accounts. Ensure that users can specify which blob container and file they wish to use.
3. **Data Transformation**: Provide basic data transformation tools such as filtering, sorting, and aggregation functions. Users should be able to apply these transformations via the UI.
4. **Statistical Analysis**: Enable users to perform simple statistical analyses like calculating mean, median, mode, and standard deviation on their data. Results should be displayed clearly within the application.
5. **Visualization**: Integrate a charting library to visualize the transformed data and analysis results. Charts could include bar graphs, line charts, and scatter plots.
6. **Documentation and Help**: Include comprehensive documentation and a help section within the app that explains how to use each feature.
7. **Testing and Validation**: Write tests to ensure that all functionalities work as expected, including data upload, transformation, and analysis.

Utilize the 'atoti-server-azure' package to handle the backend processes related to data retrieval and storage from Azure Blob Storage. Although the package is deprecated, consider its core functionalities and adapt them to fit the new 'atoti-server-storage-azure' if necessary. This project aims to streamline data handling and analysis for non-technical users, making complex tasks more accessible.

💬 Discussion Feed

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