AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks in direct threats such as network and shell manipulations, but the maintainer's single package history raises some concerns about potential supply-chain risks.
- Maintainer has only one package
- Lack of package description
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external API interactions.
- Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
- 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 new or less active account which may warrant further investigation.
Package Quality Overall: Low (3.4/10)
○ 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
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/atotiTwo 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-storage-aws
Create a data analysis mini-application that allows users to load, analyze, and visualize datasets stored on Amazon S3 using the 'atoti-server-storage-aws' package. The app should have the following functionalities: 1. **Data Loading**: Allow users to specify an S3 bucket and file path to load datasets directly into the application. Use the 'atoti-server-storage-aws' package to handle the connection and data retrieval process. 2. **Interactive Analysis**: Once the data is loaded, provide basic analytical tools such as filtering, sorting, and aggregations to help users explore their data. 3. **Visualization**: Integrate a simple visualization component where users can select columns to plot against each other. This could include line charts, bar charts, and scatter plots. 4. **User Interface**: Design a clean and intuitive user interface using a framework like Streamlit or Dash to make the application accessible and easy to use. 5. **Error Handling**: Implement robust error handling to manage issues such as incorrect S3 paths or missing files gracefully. 6. **Documentation**: Provide clear documentation on how to install dependencies, set up AWS credentials, and run the application. The 'atoti-server-storage-aws' package will be primarily used for establishing the connection to the S3 storage and efficiently loading large datasets into the application. Ensure that the application demonstrates the full potential of this package by showcasing its ability to handle big data and integrate seamlessly with existing AWS infrastructure.
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