faust-streaming
Python Stream Processing. A Faust fork
Decision gist · record as of 2026-08-14
Yes, if you need to build distributed stream processing applications in Python with Kafka. The fork is actively maintained, supports modern Python versions (3.10–3.14), has no known vulnerabilities, and offers a permissive license. Install friction is moderate due to multiple dependencies, but pre-built wheels reduce friction. Not recommended if you need a simpler event queue or if your team lacks async/await experience.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a running Kafka broker; Python 3.10 or later; familiarity with async/await syntax recommended.
- Medium install friction due to 12 runtime dependencies including aiokafka, aiohttp, and mode-streaming.
- The package is actively maintained with a recent release (4 days old) and supports Python 3.10–3.14 across macOS, Linux, and Windows with pre-built wheels.
License · maintenance · safety
permissive license (permissive) — BSD 3-Clause license is permissive and GPL-compatible, allowing use in proprietary and open-source projects without requiring derivative works to be open-sourced. Documentation is separately licensed under CC BY-SA 4.0.
last release 2026-08-10 (4 days) · last repo commit 2026-08-13 · 1,882 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 387,857 downloads/mo, #7,041 on PyPI
Alternatives
Verify before relying
pip install faust-streaming
import faust
app = faust.App('myapp', broker='kafka://localhost')
class Order(faust.Record):
account_id: str
amount: int
@app.agent(value_type=Order)
async def process_orders(orders):
async for order in orders:
print(f'Order: {order.account_id} - {order.amount}')- Whether RocksDB is bundled or requires separate system installation
- Performance characteristics (throughput, latency) for production workloads
- Compatibility guarantees with specific Kafka versions
What it is and what it does
Faust-streaming is a fork of the original Faust project that brings Kafka Streams semantics to Python using async/await and static typing. It lets you write stream processors as simple Python functions decorated with @app.agent(), consuming from Kafka topics and processing events asynchronously. The library handles distributed state through Tables—persistent, replicated key-value stores backed by RocksDB—allowing you to maintain aggregate counts, windowed metrics, and other stateful computations across a cluster of worker instances.
The package is designed for high-throughput, low-latency event processing pipelines. It supports windowing (tumbling, hopping, sliding), automatic failover via standby replicas, and changelog topics for durability. Unlike other stream frameworks, Faust requires only Kafka and Python—no DSL, no separate cluster manager—making it straightforward to integrate with existing Python libraries like NumPy, Pandas, or Django.
Use it for
- Count page views or events by URL/key using windowed tables and Kafka topic partitioning
- Process order streams with stateful validation, enrichment, and async side effects like email notifications
- Build real-time dashboards by aggregating metrics into tables that are replicated across worker nodes
- Implement event-driven microservices that react to Kafka events with custom business logic
- Migrate from Kafka Streams (Java) to Python while preserving stream topology and state semantics
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to build distributed stream processing applications in Python with Kafka.
The fork is actively maintained, supports modern Python versions (3.10–3.14), has no known vulnerabilities, and offers a permissive license. Install friction is moderate due to multiple dependencies, but pre-built wheels reduce friction. Not recommended if you need a simpler event queue or if your team lacks async/await experience.
Install
faust-streaming on PyPI
Before you install
Medium install friction due to 12 runtime dependencies including aiokafka, aiohttp, and mode-streaming. The package is actively maintained with a recent release (4 days old) and supports Python 3.10–3.14 across macOS, Linux, and Windows with pre-built wheels.
Requires a running Kafka broker; Python 3.10 or later; familiarity with async/await syntax recommended.
License in practice
BSD 3-Clause license is permissive and GPL-compatible, allowing use in proprietary and open-source projects without requiring derivative works to be open-sourced. Documentation is separately licensed under CC BY-SA 4.0.
Quickstart
pip install faust-streaming
import faust
app = faust.App('myapp', broker='kafka://localhost')
class Order(faust.Record):
account_id: str
amount: int
@app.agent(value_type=Order)
async def process_orders(orders):
async for order in orders:
print(f'Order: {order.account_id} - {order.amount}')Verify before relying
- Whether RocksDB is bundled or requires separate system installation
- Performance characteristics (throughput, latency) for production workloads
- Compatibility guarantees with specific Kafka versions
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10.0 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 12 packagesaiohttpaiohttp_corsaiokafkaclickmode-streamingterminaltablesyarlcronitermypy_extensionsvenusianintervaltreesix |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 387,857 / month, #7,041 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/StableFramework :: AsyncIOIntended Audience :: DevelopersLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: POSIX :: BSDOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonTopic :: System :: Distributed ComputingTopic :: System :: Networking |
Evidence: faust_streaming-0.13.2-cp310-cp310-macosx_10_9_x86_64.whl; faust_streaming-0.13.2-cp310-cp310-macosx_11_0_arm64.whl; faust_streaming-0.13.2-cp310-cp310-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl; faust_streaming-0.13.2-cp310-cp310-win_amd64.whl; faust_streaming-0.13.2-cp311-cp311-macosx_10_9_x86_64.whl; faust_streaming-0.13.2-cp311-cp311-macosx_11_0_arm64.whl; faust_streaming-0.13.2-cp311-cp311-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl; faust_streaming-0.13.2-cp311-cp311-win_amd64.whl; faust_streaming-0.13.2-cp312-cp312-macosx_10_13_x86_64.whl; faust_streaming-0.13.2-cp312-cp312-macosx_11_0_arm64.whl; faust_streaming-0.13.2-cp312-cp312-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl; faust_streaming-0.13.2-cp312-cp312-win_amd64.whl; faust_streaming-0.13.2-cp313-cp313-macosx_10_13_x86_64.whl; faust_streaming-0.13.2-cp313-cp313-macosx_11_0_arm64.whl; faust_streaming-0.13.2-cp313-cp313-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl; faust_streaming-0.13.2-cp313-cp313-win_amd64.whl; faust_streaming-0.13.2-cp314-cp314-macosx_10_15_x86_64.whl; faust_streaming-0.13.2-cp314-cp314-macosx_11_0_arm64.whl; faust_streaming-0.13.2-cp314-cp314-manylinux1_x86_64.manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_5_x86_64.whl; faust_streaming-0.13.2-cp314-cp314-win_amd64.whl
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