capo-dynamodb: typed, async Python SDK for Amazon DynamoDB

capo-dynamodb is a typed Python SDK for Amazon DynamoDB. It has an async client, AsyncDynamoDBClient, for asyncio and trio, and a sync client, DynamoDBClient, with the same methods. Requests and responses are typed with TypedDicts, so your editor and type checker know every field.

It is part of capo, a community-driven alternative to boto3 and aioboto3, built on its own HTTP stack instead of botocore and generated from the official AWS Smithy models. Documentation: https://capo-sdk.dev/services/dynamodb/

Installation

pip install capo-dynamodb

Usage

from capo_dynamodb import AsyncDynamoDBClient


async def main():
    async with AsyncDynamoDBClient() as dynamo_db:
        # Example: call the batch_execute_statement operation
        response = await dynamo_db.batch_execute_statement()
        print(response["responses"])

Pagination

Some operations in this SDK support pagination. If the operation supports pagination it will have an iter_ prefixed method that returns an async iterator.

from capo_dynamodb import AsyncDynamoDBClient


async def main():
    async with AsyncDynamoDBClient() as dynamo_db:
        # Example: paginate over list_contributor_insights
        async for item in dynamo_db.iter_list_contributor_insights():
            print(item)

Waiters

Waiters poll an operation until a resource reaches a desired state. If the operation supports waiters it will have a wait_until_ prefixed method.

from capo_dynamodb import AsyncDynamoDBClient


async def main():
    async with AsyncDynamoDBClient() as dynamo_db:
        # Example: wait for table_not_exists
        await dynamo_db.wait_until_table_not_exists(max_wait_time=300)

Error Handling

The SDK raises exceptions for errors returned by the API. Catch them to handle failures gracefully.

from capo_dynamodb import AsyncDynamoDBClient
from capo_dynamodb.error import InternalServerError


async def main():
    async with AsyncDynamoDBClient() as dynamo_db:
        try:
            await dynamo_db.batch_execute_statement()
        except InternalServerError as e:
            print(f"Error: {e}")
            print(e.data)  # additional error data

Retrying

The SDK retries failed operations automatically. Retry behaviour follows the Smithy specification: errors are retried based on their is_retryable and is_throttling_error attributes. Throttling errors use a longer base delay. Network-level failures (connection errors and timeouts) are also retried. Non-retryable errors, such as client errors without the @retryable trait, are raised immediately without further attempts.

The number of attempts defaults to 3 and can be changed at the client level via retry_max_attempts, or per call via config_overrides.

from capo_dynamodb import AsyncDynamoDBClient


async def main():
    async with AsyncDynamoDBClient() as dynamo_db:
        # Default: 3 attempts for every operation
        response = await dynamo_db.batch_execute_statement()

        # Override per operation
        response = await dynamo_db.batch_execute_statement(config_overrides={"retry_max_attempts": 5})

        # Disable retries for this call
        response = await dynamo_db.batch_execute_statement(config_overrides={"retry_max_attempts": 1})