🚀 Introducing FlowODM: A Lightweight ODM for Apache Kafka
I’ve been building Kafka-based microservices for years, and I kept hitting the same friction points:
- Too much boilerplate for simple producer/consumer patterns
- Manual Avro schema management was tedious and error-prone
- Switching between sync and async meant different APIs
- Schema Registry integration required custom code every time
- Setting up consumer loops with error handling took time on every project
So I built FlowODM - a lightweight ODM that lets you define Kafka messages as Pydantic models:
✅ Define messages as Pydantic v2 models with full validation ✅ Auto-generate and validate Avro schemas ✅ Both sync and async operations with the same model ✅ Full Schema Registry integration built-in ✅ Production-ready consumer loop patterns ✅ Predefined settings for different workloads (real-time, batch, ML inference, etc.) ✅ CLI tools for schema validation and management
Perfect for:
- Event-driven microservices
- Data pipelines and ETL
- ML inference services
- Change data capture (CDC)
- Any Kafka-based application where you want type safety and less boilerplate
Think of it as Pydantic for Kafka - you define your message models, and FlowODM handles serialization, schemas, and the Kafka plumbing.
Quick example:
from flowodm import FlowBaseModel, ConsumerLoop
class OrderEvent(FlowBaseModel):
class Settings:
topic = "orders"
consumer_group = "order-processor"
order_id: str
total: float
def process_order(order: OrderEvent):
print(f"Processing ${order.total}")
ConsumerLoop(
model=OrderEvent,
handler=process_order,
).run() # Handles everything: retries, shutdown, commits
Not trying to replace Kafka Streams or Flink - this is for when you want a simple, type-safe way to work with Kafka messages in Python without the ceremony.
📦 Available now: pip install flowodm 🔗 GitHub: https://github.com/Aprova-GmbH/flowodm 📖 Full blog post: https://vykhand.github.io/FlowODM-Lightweight-Kafka-ODM/
#Python #Kafka #ApacheKafka #Microservices #EventDrivenArchitecture #OpenSource #BackendDevelopment #DataEngineering