protobunny 0.1.1

Protobuf messages and python mqtt messaging toolkit

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Protobunny

Note: The project is in early development.

The protobunny library simplifies messaging for asynchronous tasks by providing:

• A clean “message-first” API
• Python class generation from Protobuf messages using betterproto
• Connections facilities to RabbitMQ
• Message publishing/subscribing with typed topics
• Generate and consume Result messages (success/failure + optional return payload)
• Protocol Buffers messages serialization/deserialization
• Support “task-like” queues (shared/competing consumers) vs broadcast subscriptions
• Support async and sync contexts
• Transparently serialize "JSON-like" payload fields (numpy-friendly)

Requirements

• Python >= 3.10, < 3.13
• A running RabbitMQ instance (v4.0+ is preferred)

Project scope

Protobunny is designed for teams who use messaging to coordinate work between microservices or different python processes and want:

• A small API surface, easy to learn and use, both async and sync
• Typed RabbitMQ and Redis messaging with protobuf messages as payloads
• Consistent topic naming and routing
• Builtin task queue semantics and result messages
• Transparent handling of JSON-like payload fields as plain dictionaries/lists
• Optional validation of required fields
• Builtin logging service
• Alternative configurable backends (e.g. rabbitmq, redis or python for local in-process queues)

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Usage

See the Quick example on GitHub for installation and quick start guide.

Full docs are available at https://am-flow.github.io/protobunny/.

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Development

Run tests

make test

Integration tests (RabbitMQ required)

Integration tests expect RabbitMQ to be running (for example via Docker Compose in this repo):

docker compose up -d
make integration-test

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Future work

• Support grcp
• Support for RabbitMQ certificates (through pika)
• More backends:
  • Mosquitto
  • Redis
  • NATS
  • Cloud providers (AWS SQS/SNS)

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License

MIT Copyright (c) 2025 AM-Flow b.v.