azure-eventhub-checkpointstoreblob
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 production-stable, actively maintained package from Microsoft's official Azure SDK with no security vulnerabilities and low install friction. Install it if you are building an Event Hubs consumer application that requires durable, distributed checkpoint management. Do not install if you are using the async variant of Event Hubs or if you do not need persistent checkpoint storage.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an Azure subscription, an Event Hubs namespace with an Event Hub, and an Azure Storage Account with a Blob Storage Block Container already provisioned.
- Low install friction with a pure-Python wheel.
- Actively maintained as of 2025-02-13 with no known vulnerabilities.
License · maintenance · safety
MIT License (permissive) — MIT License (permissive). You may use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2025-02-13 (547 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 445,131 downloads/mo, #6,618 on PyPI
Alternatives
Verify before relying
from azure.eventhub import EventHubConsumerClient
from azure.eventhub.extensions.checkpointstoreblob 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
)
client.receive(on_event)- Whether the package supports async operations (description mentions an async variant exists separately).
- Performance characteristics when handling high-throughput event streams or many concurrent consumer groups.
What it is and what it does
This package integrates Azure Blob Storage as a persistent checkpoint store for Event Hubs consumers. When an EventHubConsumerClient processes events, it uses this checkpoint store to record which events have been consumed and to track partition ownership across multiple consumer instances. This enables consumer groups to resume from where they left off after a restart or failover, and allows multiple consumer instances to coordinate which partitions each one is reading from.
The package is a synchronous implementation that plugs directly into the EventHubConsumerClient. It stores checkpoint data (offsets, sequence numbers, partition ownership) as blobs in an Azure Storage container, making it suitable for distributed event processing architectures where consumer state must survive application restarts or be shared across multiple machines.
Use it for
- Distributed event processing where multiple consumer instances coordinate via shared checkpoint state in Blob Storage.
- Resuming event consumption from the last processed position after application restarts or failures.
- Tracking partition ownership across a consumer group to ensure each partition is read by exactly one consumer.
- Replaying events by resetting checkpoints to earlier offsets when reprocessing is needed.
- Monitoring and auditing event consumption by querying checkpoint blobs for consumer progress.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a production-stable, actively maintained package from Microsoft's official Azure SDK with no security vulnerabilities and low install friction. Install it if you are building an Event Hubs consumer application that requires durable, distributed checkpoint management. Do not install if you are using the async variant of Event Hubs or if you do not need persistent checkpoint storage.
Install
azure-eventhub-checkpointstoreblob on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained as of 2025-02-13 with no known vulnerabilities. Depends on azure-core, azure-eventhub, cryptography, isodate, and typing-extensions—all standard Azure SDK components.
Requires an Azure subscription, an Event Hubs namespace with an Event Hub, and an Azure Storage Account with a Blob Storage Block Container already provisioned.
License in practice
MIT License (permissive). You may use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
from azure.eventhub import EventHubConsumerClient
from azure.eventhub.extensions.checkpointstoreblob 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
)
client.receive(on_event)Verify before relying
- Whether the package supports async operations (description mentions an async variant exists separately).
- Performance characteristics when handling high-throughput event streams or many concurrent consumer groups.
Package facts
| License | MIT License permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesazure-corecryptographytyping-extensionsisodateazure-eventhub |
| Maintenance | Actively maintained 547 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 445,131 / month, #6,618 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-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 › “blob storage checkpoint persistence”
- azure-eventhub-checkpointstoreblobProvides a checkpoint store implementation for Azure Event Hubs…
- azure-eventhub-checkpointstoreblob-aioStores checkpoints and partition ownership for Azure Event Hubs…
- langgraph-checkpoint-awsProvides AWS-based persistence backends for LangGraph agents,…
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 · azure-eventhub-checkpointstoreblob-aio · azure-mgmt-eventhub · orbax-checkpoint · metaflow-checkpoint · azure-storage-blob · agent-framework-azure-cosmos · azure-schemaregistry · langgraph-checkpoint-redis · azure-messaging-webpubsubservice