moleculerpy 0.14.2

Fast, modern microservices framework for Python - Port of Moleculer.js

MoleculerPy

MoleculerPy is a fast, modern and powerful microservices framework for Python. It helps you to build efficient, reliable & scalable services. MoleculerPy provides many features for building and managing your microservices.

Website: https://moleculerpy.services

Documentation: https://moleculerpy.services/docs

What's included

• Async/await native (built on asyncio)
• Request-reply concept
• Support event driven architecture with balancing
• Built-in service registry & dynamic service discovery
• Load balanced requests & events (round-robin, random, cpu-usage, latency, sharding)
• Many fault tolerance features (Circuit Breaker, Bulkhead, Retry, Timeout, Fallback)
• Plugin/middleware system (19 built-in middlewares)
• Support Streams for large data transfer
• Service mixins
• Built-in caching solution (Memory, Redis)
• Pluggable loggers (structlog)
• Pluggable transporters (NATS, Redis, Memory)
• Pluggable parameter validator
• Multiple services on a node/server
• Master-less architecture, all nodes are equal
• Built-in metrics feature with Prometheus exporter
• Built-in tracing feature with Console exporter
• Official REPL and Channels modules

Installation

pip install moleculerpy

With optional features:

# With Redis transporter
pip install moleculerpy[redis]

# With metrics & tracing
pip install moleculerpy[metrics,tracing]

# All features
pip install moleculerpy[all]

Create your first microservice

This example shows you how to create a small service with an add action which can add two numbers and how to call it.

import asyncio
from moleculerpy import ServiceBroker, Service, action, Context

# Define a service
class MathService(Service):
    name = "math"

    @action
    async def add(self, ctx: Context):
        return ctx.params["a"] + ctx.params["b"]

async def main():
    # Create a broker
    broker = ServiceBroker()

    # Register the service
    await broker.register(MathService())

    # Start the broker
    await broker.start()

    # Call service
    result = await broker.call("math.add", {"a": 5, "b": 3})
    print(f"5 + 3 = {result}")

    # Stop broker
    await broker.stop()

asyncio.run(main())

Command Line Interface

MoleculerPy includes a CLI that allows you to easily start a broker and load services:

moleculerpy <service_directory> [options]

CLI Options

Option	Description	Default
service_directory	Path to directory containing service files	-
--broker-id, -b	Broker ID	node-<current_dir_name>
--transporter, -t	Transporter URL	nats://localhost:4222
--log-level, -l	Log level	INFO
--log-format, -f	Log format (PLAIN, JSON)	PLAIN
--namespace, -n	Service namespace	default

Example

# Start with services from the 'services' directory
moleculerpy services

# Custom broker ID and transporter
moleculerpy services -b my-broker -t nats://nats-server:4222

# Verbose logging
moleculerpy services -l DEBUG

Official modules

We have official modules for MoleculerPy:

Module	Description
moleculerpy-repl	Interactive CLI shell for debugging and managing services
moleculerpy-channels	Reliable pub/sub messaging with Redis, Kafka, NATS

Middlewares

MoleculerPy provides a powerful middleware system to extend functionality. Middlewares can hook into various stages of request, event, and lifecycle processes.

from moleculerpy.middleware import Middleware
from moleculerpy.context import Context

class LoggingMiddleware(Middleware):
    async def local_action(self, next_handler, action_endpoint):
        async def wrapped_handler(ctx: Context):
            print(f"Before action: {action_endpoint.name}")
            result = await next_handler(ctx)
            print(f"After action: {action_endpoint.name}")
            return result
        return wrapped_handler

# Register middleware
broker = ServiceBroker(middlewares=[LoggingMiddleware()])

Available Hooks

Wrapping Hooks

• local_action(next_handler, action_endpoint) - Wraps local action handlers
• remote_action(next_handler, action_endpoint) - Wraps remote action calls
• local_event(next_handler, event_endpoint) - Wraps local event handlers

Lifecycle Hooks

• broker_created(broker) - Called after broker initialization
• broker_started(broker) - Called after broker startup
• broker_stopped(broker) - Called after broker shutdown
• service_created(service) - Called after service registration
• service_started(service) - Called after service startup

Roadmap

Current status (v0.14.1)

• Core framework with full service lifecycle
• NATS, Redis, Memory transporters
• 19 built-in middlewares
• 5 load balancing strategies
• Circuit breaker, bulkhead, retry patterns
• Prometheus metrics & Console tracing
• Streaming support
• REPL & Channels modules

Planned features

• MsgPack serializer
• LRU cache
• Metrics Console exporter
• Jaeger & Zipkin tracing exporters
• Service versioning (v1.users.get action naming)
• Kafka transporter
• AMQP transporter
• REST API Gateway (moleculerpy-web)
• Database adapters (moleculerpy-db)
• GraphQL gateway
• gRPC support

Documentation

You can find the documentation at https://moleculerpy.services/docs.

Changelog

See CHANGELOG.md.

Contributing

We welcome you to join in the development of MoleculerPy. Please read our contribution guide.

Credits

This project is based on pylecular by Alvaro Inckot, licensed under MIT License.

Inspired by Moleculer.js - the original Node.js microservices framework.

License

MoleculerPy is available under the MIT license.

Contact

Copyright (c) 2026 MoleculerPy