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Features

PipeGen provides a comprehensive set of features for creating, managing, and monitoring streaming data pipelines.

Quick Project Scaffolding

Generate complete pipeline projects with minimal configuration. PipeGen creates:

  • FlinkSQL statements for data processing
  • AVRO schemas for data serialization
  • Docker Compose setup for local development
  • Configuration files for different environments

Learn more about getting started →

AI-Powered Generation

Describe your data pipeline in natural language and let AI handle the complexity:

  • Generate optimized FlinkSQL statements
  • Create appropriate AVRO schemas
  • Suggest configuration parameters
  • Provide implementation best practices

Explore AI generation →

Dynamic Traffic Patterns

Simulate realistic production scenarios with customizable traffic patterns:

  • Define baseline message rates
  • Create traffic spikes at specific times
  • Test pipeline performance under load
  • Validate capacity planning decisions

Configure traffic patterns →

Local Development Stack

Complete Docker-based development environment:

  • Apache Kafka for message streaming
  • Apache Flink for stream processing
  • Confluent Schema Registry for schema management
  • Pre-configured networking and volumes

Set up local environment →

AVRO Schema Registry Integration

Full-featured schema management with automatic format detection:

  • Smart Producer: Automatically uses AVRO format when Schema Registry is available
  • Confluent Wire Format: Proper magic bytes and schema ID encoding
  • JSON Fallback: Seamless fallback to JSON when no schema registry
  • Schema Evolution: Version management and compatibility checking
  • Enhanced Monitoring: Consumer group lag analysis for processing detection

Learn about schema management →

Real-time Monitoring

Comprehensive execution tracking with detailed reporting:

  • Automatic HTML report generation for every run
  • Performance analytics and interactive charts
  • Pipeline execution metrics and analysis
  • Professional reports ready for sharing

View report examples →

Dynamic Resource Management

Intelligent resource handling to avoid conflicts:

  • Automatic topic naming with timestamps
  • Schema registration and versioning
  • Cleanup utilities for development environments
  • Environment-specific configurations

Configure resources →

Smart Consumer Stopping

Intelligent pipeline completion with automatic consumer termination:

  • Auto-calculation: Automatically determines expected message count from producer output
  • Manual Control: Override with --expected-messages for precise control
  • Progress Tracking: Real-time progress updates with completion percentage
  • Smart Timeout: 30-second timeout prevents hanging when no messages available
  • Separate Timeouts: Producer duration independent of overall pipeline timeout

Benefits:

  • Faster Execution: No waiting for arbitrary 5-minute timeouts
  • Precise Control: Stop exactly when work is complete
  • Better UX: Clear progress indication and immediate completion

Learn about pipeline timing →

Comprehensive Validation

Validate your pipeline before deployment:

  • Project structure verification
  • SQL syntax checking
  • AVRO schema validation
  • Connectivity testing
  • Dependency verification

Run validations →

Execution Reports

Generate comprehensive reports for analysis and sharing:

  • Professional HTML reports with interactive charts
  • Complete pipeline execution metrics and performance data
  • Automatic generation with timestamped filenames saved to reports/ folder
  • Configuration snapshots and resource utilization tracking
  • Easy sharing capabilities for stakeholders and team collaboration

Learn about reports →


Getting Started

Ready to explore these features? Get started with PipeGen →

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Released under the MIT License.