azure-eventhub-checkpointstoreblob-aio
Microsoft Azure Event Hubs checkpointer implementation with Blob Storage Client Library for Python
Decision gist · record as of 2026-08-14
Yes. This is a stable, actively maintained package from Microsoft's official Azure SDK with no known vulnerabilities, low install friction, and a permissive MIT license. Install it if you are building an async Event Hubs consumer application and need reliable checkpoint persistence—it is the standard way to do so on Azure.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; requires active Azure Event Hubs namespace, Event Hub, and Azure Storage Blob container with appropriate connection strings.
- Low friction install with six runtime dependencies, all from the Azure SDK ecosystem.
- Actively maintained with recent releases; the repo is current and has substantial community engagement.
License · maintenance · safety
MIT License (permissive) — MIT License permits commercial and private use with minimal restrictions—you may use, modify, and distribute this package freely provided you include the license notice.
last release 2025-02-13 (547 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 730,558 downloads/mo, #5,211 on PyPI
Alternatives
Verify before relying
pip install azure-eventhub-checkpointstoreblob-aio
from azure.eventhub.aio import EventHubConsumerClient
from azure.eventhub.extensions.checkpointstoreblobaio import BlobCheckpointStore
checkpoint_store = BlobCheckpointStore.from_connection_string(
storage_connection_str, container_name
)
client = EventHubConsumerClient.from_connection_string(
connection_str, consumer_group,
eventhub_name=eventhub_name,
checkpoint_store=checkpoint_store
)- Performance characteristics when checkpointing at scale (e.g., throughput, latency impact per partition).
- Behavior and recovery time when storage connectivity is temporarily lost during event processing.
- Whether the package supports custom storage API versions beyond the default 2019-07-07.
What it is and what it does
This package integrates Azure Blob Storage as a checkpoint store for async Event Hubs consumers. When processing events from Azure Event Hubs, consumers need to track their position (offset) within each partition so they can resume from the correct location after a restart or failover. This package provides the BlobCheckpointStore class, which persists that state in Azure Blob Storage blobs, allowing multiple consumer instances to coordinate partition ownership and maintain event stream position across restarts.
The package is designed as a plug-in for EventHubConsumerClient and handles the mechanics of storing and retrieving checkpoint data asynchronously. It depends on azure-eventhub for the consumer client interface and aiohttp for async HTTP operations. It is the async-only variant; a synchronous version exists separately.
Use it for
- Distributed event processing where multiple consumer instances need to coordinate partition assignment and resume from the last processed offset after restarts.
- Building resilient event pipelines that can survive consumer failures without losing or replaying large event batches.
- Implementing event stream replay by resetting checkpoints to earlier offsets when reprocessing is needed.
- Auditing and compliance scenarios where you need persistent records of which events have been processed by which consumer groups.
- Multi-region or multi-instance deployments where checkpoint state must be shared across consumer instances via a durable store.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a stable, actively maintained package from Microsoft's official Azure SDK with no known vulnerabilities, low install friction, and a permissive MIT license. Install it if you are building an async Event Hubs consumer application and need reliable checkpoint persistence—it is the standard way to do so on Azure.
Install
azure-eventhub-checkpointstoreblob-aio on PyPI
Before you install
Low friction install with six runtime dependencies, all from the Azure SDK ecosystem. Actively maintained with recent releases; the repo is current and has substantial community engagement.
Requires Python 3.8 or later; requires active Azure Event Hubs namespace, Event Hub, and Azure Storage Blob container with appropriate connection strings.
License in practice
MIT License permits commercial and private use with minimal restrictions—you may use, modify, and distribute this package freely provided you include the license notice.
Quickstart
pip install azure-eventhub-checkpointstoreblob-aio
from azure.eventhub.aio import EventHubConsumerClient
from azure.eventhub.extensions.checkpointstoreblobaio import BlobCheckpointStore
checkpoint_store = BlobCheckpointStore.from_connection_string(
storage_connection_str, container_name
)
client = EventHubConsumerClient.from_connection_string(
connection_str, consumer_group,
eventhub_name=eventhub_name,
checkpoint_store=checkpoint_store
)Verify before relying
- Performance characteristics when checkpointing at scale (e.g., throughput, latency impact per partition).
- Behavior and recovery time when storage connectivity is temporarily lost during event processing.
- Whether the package supports custom storage API versions beyond the default 2019-07-07.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesazure-corecryptographytyping-extensionsisodateazure-eventhubaiohttp |
| Maintenance | Actively maintained 547 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 730,558 / month, #5,211 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9 |
Evidence: azure_eventhub_checkpointstoreblob_aio-1.2.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “azure event hubs checkpoint store”
- azure-eventhub-checkpointstoreblob-aioStores checkpoints and partition ownership for Azure Event Hubs…
- azure-eventhub-checkpointstoreblobProvides a checkpoint store implementation for Azure Event Hubs…
- azure-mgmt-eventhubManages Azure Event Hub resources—namespaces, hubs, consumer groups,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Distributed Computing packages
gRPC Python is an HTTP/2-based RPC framework that enables you to define and call remote procedures across network boundaries using protocol buffers for serialization.
Install it if you need RPC communication in a distributed system or are integrating with existing gRPC services.
execnet lets you spawn and communicate with Python interpreters across local processes, remote hosts, and different platforms, using a simple API for task distribution and inter-process messaging.
However, the aging maintenance status (275 days since last release) means you should verify it meets your concurrency and performance needs before committing to a…
Cloudpickle extends Python's standard pickle module to serialize lambda functions, interactively-defined functions and classes, and other constructs that the default pickle cannot handle, making it suitable for cluster computing and remote code execution.
Install it if you need to serialize lambda functions, interactively-defined code, or non-standard Python constructs for cluster computing or distributed execution.
Provides a unified, open()-compatible Python API for streaming large files from remote storage (S3, GCS, Azure, HDFS, SFTP, HTTP) and local filesystems, with transparent compression support.
Install it if you work with large files on cloud storage or remote systems and want to avoid writing boilerplate around multiple SDKs.
Portalocker provides cross-platform file locking with support for exclusive and shared locks, plus Redis-based distributed locks and process-aware PID file locking.
Install it if you need file or process coordination; the optional extras (pywin32, redis) are only required for specific lock types.
Ray is a distributed computing framework that scales Python applications from a single machine to multi-node clusters, providing abstractions for parallel tasks, stateful actors, and shared objects.
See also azure-eventhub-checkpointstoreblob · azure-eventhub · azure-mgmt-eventhub · orbax-checkpoint · metaflow-checkpoint · azure-storage-blob · agent-framework-azure-cosmos · azure-schemaregistry · langgraph-checkpoint-redis · aiopulse