atoti-server-parquet

v0.9.15 suspicious
4.0
Medium Risk

Resources to load Apache Parquet files

⚠ Tarball exceeded 25 MB — source code analysis was limited to package metadata only.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in terms of network, shell, obfuscation, and credential aspects. However, the metadata risk score is elevated due to the maintainer having only one package, which raises some suspicion.

  • Maintainer has only one package
  • No description provided
Per-check LLM notes
  • Network: No network calls detected, which is typical for a package focused on data processing without external service dependencies.
  • Shell: No shell execution detected, indicating the package does not execute system commands, which is expected for a data processing library.
  • 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 may indicate a new or less active account, raising some suspicion but not enough to conclude malice.

📦 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/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-parquet 
Create a mini-application that allows users to upload and visualize data from Apache Parquet files. This application will leverage the 'atoti-server-parquet' package to efficiently load Parquet files into memory and provide interactive analysis capabilities. Here are the key steps and features for your project:

1. **Setup**: Begin by installing necessary packages including 'atoti-server-parquet', 'flask' for web server functionality, and 'pandas' for data manipulation.
2. **Data Upload Interface**: Develop a simple web interface using Flask where users can upload their Parquet files. Ensure there's a validation mechanism to confirm the uploaded file is indeed a Parquet file.
3. **Data Loading**: Utilize 'atoti-server-parquet' to load the uploaded Parquet file into memory. Implement error handling to manage any issues during file loading.
4. **Interactive Data Visualization**: Once the data is loaded, allow users to interact with it through basic visualizations like bar charts, line graphs, etc., based on the data columns. Use libraries such as 'matplotlib' or 'plotly' for visualization.
5. **Querying and Analysis**: Enable users to perform basic SQL-like queries directly on the loaded data through the web interface. This feature should leverage 'atoti-server-parquet's ability to handle complex data structures efficiently.
6. **Export Functionality**: Provide an option for users to export the analyzed data back into a Parquet file format, ensuring they can save their work.
7. **Security Considerations**: Ensure the application is secure by implementing measures to prevent unauthorized access and data breaches.

This project aims to demonstrate the power of 'atoti-server-parquet' in handling large datasets and providing a seamless user experience for data analysis.

💬 Discussion Feed

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