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PipeGenStreaming Data Pipeline Generator

Create and manage streaming data pipelines using Apache Kafka and FlinkSQL with AI-powered generation and real-time monitoring.

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Why PipeGen?

Building streaming data pipelines traditionally requires deep knowledge of Apache Kafka, FlinkSQL, AVRO schemas, and complex deployment configurations. PipeGen eliminates this complexity by providing:

Zero-config local development - Complete stack with one command
AI-assisted pipeline creation - Natural language to production-ready code
Realistic testing capabilities - Traffic pattern simulation for load testing
Real-time visibility - Live monitoring and comprehensive reporting
DevOps-ready workflows - Automated deployment and cleanup

Quick Example

bash
# Install PipeGen
curl -sSL https://raw.githubusercontent.com/mcolomerc/pipegen/main/install.sh | bash

# Create an AI-generated fraud detection pipeline
pipegen init fraud-detection --describe "Monitor payment transactions, detect suspicious patterns using machine learning, and alert on potential fraud within 30 seconds"

# Deploy local development stack
pipegen deploy

# Run with traffic spikes simulation and report generation
pipegen run --message-rate 100 --duration 10m --traffic-pattern "2m-4m:400%,6m-8m:300%" --reports-dir ./reports

# Or use smart consumer stopping for faster feedback
pipegen run --expected-messages 1000 --message-rate 50

Comprehensive Execution Reports

PipeGen Execution Report

Every pipeline execution automatically generates professional HTML reports saved to the reports/ folder with:

  • Performance analytics with interactive charts and detailed metrics
  • Complete configuration snapshots for reproducibility
  • Traffic pattern analysis and load testing insights
  • Resource utilization tracking and system health monitoring
  • Professional styling ready for stakeholder sharing
  • Timestamped filenames for easy historical analysis

Perfect for Teams

Enterprises

  • Rapid prototyping of streaming solutions
  • Load testing and capacity planning
  • Training and onboarding new team members
  • Standardized pipeline templates

Developers

  • Learn Kafka and FlinkSQL hands-on
  • Test streaming concepts locally
  • Validate pipeline logic before production
  • Generate boilerplate code quickly

Released under the MIT License.