typedkafka 0.7.0

A well-documented, fully type-hinted Kafka client for Python

typedkafka

A well-documented, fully type-hinted Kafka client for Python.

Overview

typedkafka provides a modern Python interface to Apache Kafka with comprehensive documentation, full type hints, and developer-friendly features. Built on confluent-kafka for performance and reliability.

Key Features:

• Full type hints and IDE autocomplete on every public method
• Type-safe topics with generic serialization/deserialization
• Transactions, async, retry, and batch operations built in
• Pluggable serializers: JSON, string, Protobuf, Avro/Schema Registry
• Structured logging, metrics, OpenTelemetry tracing, and dead letter queues
• Testing mocks with full API parity — no broker needed for unit tests
• Type-safe config builders with presets, validation, and security helpers

Why typedkafka?

confluent-kafka is fast and reliable, but its Python API lacks type hints, has sparse docs, and surfaces raw C-level errors. typedkafka wraps it with a modern, Pythonic interface:

• Type safety — full type hints, generic TypedTopic[T], and IDE autocomplete so you catch mistakes before runtime
• Batteries included — transactions, async, retry, serialization, logging, metrics, and dead letter queues out of the box
• Testable — mock producer/consumer with full API parity; write unit tests without Docker
• Observable — structured logging, OpenTelemetry tracing, and metrics collection built in

Installation

pip install typedkafka

# With Avro/Schema Registry support
pip install typedkafka[avro]

# With Protobuf support
pip install typedkafka[protobuf]

# Everything
pip install typedkafka[all]

Requires Python 3.9+.

Quick Start

from typedkafka import KafkaProducer

with KafkaProducer({"bootstrap.servers": "localhost:9092"}) as producer:
    producer.send("my-topic", b"Hello, Kafka!")
    producer.send_json("events", {"user_id": 123, "action": "click"})
    producer.flush()

from typedkafka import KafkaConsumer

with KafkaConsumer({"bootstrap.servers": "localhost:9092", "group.id": "my-group"}) as consumer:
    consumer.subscribe(["my-topic"])
    for msg in consumer:
        print(msg.value_as_json())
        consumer.commit(msg)

Configuration Builders

from typedkafka import ProducerConfig, KafkaProducer

config = (
    ProducerConfig()
    .bootstrap_servers("broker:9093")
    .sasl_scram("user", "password")
    .acks("all")
    .compression("gzip")
    .build(validate=True)
)

producer = KafkaProducer(config)

See the examples/ directory for more: transactions, async, retry, serializers, batch send, testing mocks, config builders, metrics, and dead letter queues.

Development

git clone https://github.com/Jgprog117/typedkafka.git
cd typedkafka
pip install -e ".[dev]"
pytest
ruff check .
mypy src

License

MIT License - see LICENSE file for details.

Changelog

See CHANGELOG.md for the full release history.