atoti-client-azure

v0.9.15 safe
3.0
Low Risk

Deprecated: use atoti-client-storage-azure instead

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network, shell, or obfuscation risks. The metadata suggests a new or less active maintainer but does not indicate malicious intent.

  • No network or shell execution risks
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires interaction with Azure services.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer has only one package, suggesting a potentially new or less active account.

📦 Package Quality Overall: Low (3.8/10)

○ 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 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-client-azure 
Your task is to create a data analysis mini-app using the 'atoti-client-azure' Python package, despite its deprecation notice suggesting to use 'atoti-client-storage-azure'. This app will serve as a bridge between Azure Blob Storage and your local environment, enabling you to perform basic data analysis tasks on datasets stored in Azure Blob Storage. Here’s a detailed guide on how to proceed:

1. **Project Setup**: Start by setting up your development environment. Ensure you have Python installed along with the necessary libraries such as 'pandas', 'numpy', and 'atoti-client-azure'. Also, set up an Azure Blob Storage account and obtain the necessary credentials (connection string).

2. **Connecting to Azure Blob Storage**: Use 'atoti-client-azure' to establish a connection to your Azure Blob Storage. Write a function that takes the connection string as input and returns a handle to the storage account.

3. **Data Extraction**: Implement functionality within your app to list all blobs within a specified container. Additionally, allow users to select a blob and download it into a pandas DataFrame for further processing.

4. **Basic Data Analysis**: Once the data is loaded into a DataFrame, implement basic data analysis functionalities like calculating summary statistics, filtering rows based on user-defined criteria, and visualizing the data using matplotlib or seaborn.

5. **Interactive Features**: Enhance the user experience by adding interactive elements. For example, provide a simple GUI where users can input their Azure Blob Storage credentials, choose containers and blobs, and select columns to analyze.

6. **Documentation and Testing**: Document your code thoroughly and ensure each feature works as expected through unit testing. Pay special attention to error handling, especially when dealing with network connections and file operations.

Remember, although 'atoti-client-azure' is deprecated, it still offers valuable insights into working with Azure Blob Storage and Python. Your goal is to demonstrate proficiency in integrating third-party packages and performing data analysis tasks efficiently.

💬 Discussion Feed

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