aws-cdk.aws-kinesisanalytics-flink-alpha

v2.258.0a0 safe
2.0
Low Risk

A CDK Construct Library for Kinesis Analytics Flink applications

🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity with very low risks across all categories assessed. It is considered safe for use.

  • No network calls detected
  • No shell execution patterns
  • No obfuscation patterns
  • No credential harvesting patterns
Per-check LLM notes
  • Network: No network calls detected, which is normal for a library focused on AWS CDK constructs and not performing direct cloud interactions.
  • Shell: No shell execution patterns detected, which is expected as the package does not involve system-level operations.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other suspicious flags were raised.

📦 Package Quality Overall: Medium (5.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (4083 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

  • Classifier: Typing :: Typed
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 32 unique contributor(s) across 100 commits in aws/aws-cdk
  • Active community — 5 or more distinct contributors

🔬 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aws/aws-cdk appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Web Services" 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 aws-cdk.aws-kinesisanalytics-flink-alpha 
Create a real-time data processing application using AWS CDK and the 'aws-cdk.aws-kinesisanalytics-flink-alpha' package. This application will demonstrate the power of streaming analytics by processing live stock market tickers. The app will consist of the following components:

1. **Data Source**: Set up a Kinesis Data Stream to ingest real-time stock ticker data.
2. **Processing Engine**: Use Kinesis Data Analytics Flink to process the incoming data streams in real-time, calculating rolling averages and detecting anomalies in stock prices.
3. **Output**: Store the processed data into a Kinesis Data Firehose stream, which then loads the data into an S3 bucket for further analysis.
4. **Visualization**: Integrate with a simple web dashboard (using Flask) to display real-time stock price trends and anomalies detected.

### Features:
- Real-time ingestion and processing of stock ticker data.
- Calculation of rolling averages over a specified time window.
- Detection of stock price anomalies based on deviations from the rolling average.
- Storage of processed data in S3 for historical analysis.
- Web-based visualization of stock price trends and anomalies.

### Utilization of 'aws-cdk.aws-kinesisanalytics-flink-alpha':
- Configure the Kinesis Data Stream as the input source for your Flink application.
- Define a Flink SQL job within the CDK construct to calculate rolling averages and detect anomalies.
- Output the results of the Flink job to a Kinesis Data Firehose delivery stream for archival purposes.

Your task is to design and implement this application using the AWS CDK, focusing on the integration of 'aws-cdk.aws-kinesisanalytics-flink-alpha'. Provide a clear, modular structure for your codebase and ensure that all necessary resources are properly configured and deployed using AWS CDK constructs. Additionally, include instructions for setting up and running the Flask-based web dashboard locally to visualize the processed data.

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