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Event Sourcing in Python

A library for event sourcing in Python.

"totally amazing and a pleasure to use"

Please read the docs. See also extension projects.

Event sourcing in Python


Use pip to install the stable distribution from the Python Package Index. Please note, it is recommended to install Python packages into a Python virtual environment.

$ pip install eventsourcing


Use the library's Aggregate base class to define event-sourced aggregates. Use the @event decorator on command methods to define aggregate events.

from eventsourcing.domain import Aggregate, event

class World(Aggregate):
    def __init__(self, name): = name
        self.history = []

    def make_it_so(self, what):

Use the library's Application class to define an event-sourced application. Add command and query methods that use event-sourced aggregates.

from eventsourcing.application import Application

class Universe(Application):
    def create_world(self, name):
        world = World(name)

    def make_it_so(self, world_id, what):
        world = self.repository.get(world_id)

    def get_history(self, world_id):
        world = self.repository.get(world_id)
        return world.history

Construct an application object by calling the application class.

application = Universe()

Evolve the state of the application by calling the application command methods.

world_id = application.create_world('Earth')
application.make_it_so(world_id, 'dinosaurs')
application.make_it_so(world_id, 'trucks')
application.make_it_so(world_id, 'internet')

Access the state of the application by calling the application query methods.

history = application.get_history(world_id)
assert history == ['dinosaurs', 'trucks', 'internet']

Configure an application by setting environment variables.

application = Universe(
        'PERSISTENCE_MODULE': 'eventsourcing.sqlite',
        'SQLITE_DBNAME': ':memory:',

See the library's documentation for more information.


Aggregates and applications — base classes for event-sourced aggregates and applications. Suggests how to structure an event-sourced application. All classes are fully type-hinted to guide developers in using the library.

Flexible event store — flexible persistence of aggregate events. Combines an event mapper and an event recorder in ways that can be easily extended. Mapper uses a transcoder that can be easily extended to support custom model object types. Recorders supporting different databases can be easily substituted and configured with environment variables.

Application-level encryption and compression — encrypts and decrypts events inside the application. This means data will be encrypted in transit across a network ("on the wire") and at disk level including backups ("at rest"), which is a legal requirement in some jurisdictions when dealing with personally identifiable information (PII) for example the EU's GDPR. Compression reduces the size of stored aggregate events and snapshots, usually by around 25% to 50% of the original size. Compression reduces the size of data in the database and decreases transit time across a network.

Snapshotting — reduces access-time for aggregates that have many events.

Versioning - allows changes to be introduced after an application has been deployed. Both aggregate events and aggregate snapshots can be versioned.

Optimistic concurrency control — ensures a distributed or horizontally scaled application doesn't become inconsistent due to concurrent method execution. Leverages optimistic concurrency controls in adapted database management systems.

Notifications and projections — reliable propagation of application events with pull-based notifications allows the application state to be projected accurately into replicas, indexes, view models, and other applications. Supports materialized views and CQRS.

Event-driven systems — reliable event processing. Event-driven systems can be defined independently of particular persistence infrastructure and mode of running.

Detailed documentation — documentation provides general overview, introduction of concepts, explanation of usage, and detailed descriptions of library classes. All code is annotated with type hints.

Worked examples — includes examples showing how to develop aggregates, applications and systems.


The GitHub organisation Event Sourcing in Python hosts extension projects for the Python eventsourcing library. There are projects that support ORMs such as Django and SQLAlchemy. There are projects supporting databases such as AxonDB, DynamoDB, EventStoreDB, and Apache Kafka. Another project supports transcoding domain events with Protocol Buffers rather than JSON. There are also projects that provide examples of using the library with such things as FastAPI, Flask, and serverless.


This project is hosted on GitHub.

Please register questions, requests and issues on GitHub, or post in the project's Slack channel.

There is a Slack channel for this project, which you are welcome to join.

Please refer to the documentation for installation and usage guides.