apache-iggy

v0.8.0 suspicious
4.0
Medium Risk

Apache Iggy is the persistent message streaming platform written in Rust, supporting QUIC, TCP and HTTP transport protocols, capable of processing millions of messages per second.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential network communication and has limited metadata details about its maintainer, raising concerns about its origin and intended use.

  • network risk due to socket communication
  • metadata risk due to insufficient maintainer information
Per-check LLM notes
  • Network: The use of socket.create_connection suggests the package may be attempting to communicate with external services, which is not inherently malicious but requires further investigation into its purpose.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The maintainer has a new or inactive account and lacks detailed author information, which raises some suspicion but does not strongly indicate malicious intent.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 5 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://iggy.apache.org/docs/
  • Detailed PyPI description (1450 chars)
○ 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

  • 24 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 21 unique contributor(s) across 100 commits in apache/iggy
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • try: with socket.create_connection((host, port), timeout=interval): return
✓ 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: iggy.apache.org>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository apache/iggy appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 apache-iggy 
Create a real-time stock market data streaming application using Apache Iggy. This application will serve as a tool for financial analysts and traders to monitor live stock prices from multiple exchanges. Here’s a detailed breakdown of what your application should achieve and how you can use the 'apache-iggy' package to accomplish these goals:

1. **Real-Time Data Collection**: Your application should collect real-time stock price data from various sources such as Yahoo Finance API, Alpha Vantage, or any other reliable financial data provider. Each source should be treated as a separate stream.
2. **Data Processing**: Implement a feature to process incoming data streams in real-time. This could include filtering out irrelevant data, calculating moving averages, or identifying significant price movements.
3. **Storage and Retrieval**: Use Apache Iggy to store the processed data persistently. Ensure that the data is stored efficiently so that it can be retrieved quickly when needed.
4. **User Interface**: Develop a simple web-based UI where users can select which stocks they want to monitor. The UI should display real-time stock prices, trends, and other relevant metrics.
5. **Alert System**: Integrate an alert system that notifies users via email or SMS if there are significant changes in stock prices or trends.
6. **Scalability and Reliability**: Design your application to handle high traffic and ensure reliability by leveraging Apache Iggy's support for QUIC, TCP, and HTTP transport protocols.

**How to Utilize 'apache-iggy':** 
- **Setup Streams**: Create streams for each data source in Apache Iggy. These streams will act as channels for incoming data.
- **Data Ingestion**: Write scripts to fetch real-time data from financial APIs and push this data into the corresponding Apache Iggy streams.
- **Data Retrieval and Processing**: Retrieve data from Apache Iggy streams in real-time, process it according to your requirements, and store it back into Apache Iggy for persistence.
- **Integration with Web Application**: Use Apache Iggy to stream data directly to your web application backend, ensuring that the data displayed on the frontend is always up-to-date.

This project not only leverages the high throughput capabilities of Apache Iggy but also showcases its ability to handle real-time data processing and storage in a robust manner.

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