faust
fastkafka
faust | fastkafka | |
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11 | 38 | |
1,454 | 33 | |
2.1% | - | |
7.9 | 8.7 | |
about 1 month ago | 5 months ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
faust
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faust VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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New release of FastKafka supporting Redpanda
We have many similar ideas and paradigms, as one would expect from modern frameworks tackling the same problem. However, Faust has been deprecated and no longer managed or supported (there is a fork being maintained by the community at https://github.com/faust-streaming/faust). I guess Robinhood at some point decided not to spend any more resources on it, an often destiny of such side projects by large corporations. On the other hand, we hope to stay around for a long time and build to a framework and a community that loves it. This initial version was built using many libraries in order to have a working system and to gather feedback from the large community. We plan to replace eventually all, or at least most of dependancies, and replace then with Rust lib with Python bindings.
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Kafka ETL tool, is there any?
Just wanted to add that there is an actively maintained fork called faust-streaming, you can find it here: https://github.com/faust-streaming/faust
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Apache Kafka Beyond the Basics: Windowing
That's the basics yes. You have a pletora of things coming next. One is "Windowing" mentioned in the article, it's well explained and maybe it looks simple, but when you start with it, takes some time to wrap your mind around it.
The other things in kafka world are stateful transformations, which you would normally do using Java's Flink. The closest in python is Faust (the fork) [0]. What are stateful aggregations? something like doing SQL on top of a topic: group_by, count, reduce, and joins. So similar to SQL that you have kSQL [1].
Consumer groups IMO falls under basic usage, if you need to scale, take a look at it, and what are partitions and replicas, with that in mind, you'll be ok.
[0]: https://github.com/faust-streaming/faust
[1]: https://www.confluent.io/blog/ksql-streaming-sql-for-apache-...
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How to join using Faust Streaming (Python implementation of Kafka Streams API)?
The forked one, https://github.com/faust-streaming/faust, has been updated but still doesn’t seem to support joins.
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Real Time Data Infra Stack
Faust: Python framework
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Kafka to HTTP POST requests
I’d like to use Python for this so I came across Faust but I’m not sure if it’s possible to create HTTP requests through Faust or if there are better alternatives.
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Using Kafka with Python... is Confluent the only option?
There is a community fork which was stale for a while but got a new commit a couple days ago, this one might be usable, but is still quite risky (70 open issues etc.): https://github.com/faust-streaming/faust
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Why did Robinhood abandon Faust?
There is a community which forked and actively develops faust, here’s the https://github.com/faust-streaming/faust
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Project with Faust and Django
Hi, thanks for the answer, I'm actually using virtualenv with the requirements of the file associated with the example. However I wanted to tell you that due to covid the project is suspended but only temporarily, but there is an active fork https://github.com/faust-streaming/faust. But the example in the fork doesn't work either.
fastkafka
- FLaNK Stack Weekly 16 October 2023
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FastStream: Python's framework for Efficient Message Queue Handling
Our journey with FastStream started when we needed to integrate our machine learning models into a customer's Apache Kafka environment. To streamline this process, we created FastKafka using AIOKafka, AsyncAPI, and asyncio. It was our first step in making message queue management easier.
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How we deprecated two successful projects and joined forces to create an even more successful one
After a short discussion, we concluded we were just too spoiled to use low-level libraries that were nothing more than just tiny wrappers around C++ libs and that we could just build our own. So, we shamelessly made one by reusing beloved paradigms from FastAPI and we shamelessly named it FastKafka. The point was to set the expectations right - you get pretty much what you would expect: function decorators for consumers and producers with type hints specifying Pydantic classes for JSON encoding/decoding, automatic message routing to Kafka brokers and documentation generation.
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Introducing FastStream: the easiest way to write microservices for Apache Kafka and RabbitMQ in Python
FastStream simplifies the process of writing producers and consumers for message queues, handling all the parsing, networking and documentation generation automatically. It is a new package based on the ideas and experiences gained from FastKafka and Propan. By joining our forces, we picked up the best from both packages and created a unified way to write services capable of processing streamed data regardless of the underlying protocol. We'll continue to maintain both packages, but new development will be in this project.
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FastStream: the easiest way to add Kafka and RabbitMQ support to FastAPI services
FastStream (https://github.com/airtai/faststream) is a new Python framework, born from Propan and FastKafka teams' collaboration (both are deprecated now). It extremely simplifies event-driven system development, handling all the parsing, networking, and documentation generation automatically. Now FastStream supports RabbitMQ and Kafka, but supported brokers are constantly growing (wait for NATS and Redis a bit). FastStream itself is a really great tool to build event-driven services. Also, it has a native FastAPI integration. Just create a StreamRouter (very close to APIRouter) and register event handlers the same with the regular HTTP-endpoints way:
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The new release of FastKafka supports Pydantic v2.0
Inspired by FastAPI, FastKafka uses the same paradigms for routing, validation, and documentation, making it easy to learn and integrate into your existing streaming data projects. Please check out the latest version adds supporting the newly released Pydantic v2.0, making it significantly faster. https://github.com/airtai/fastkafka
- Inspired by FastAPI, FastKafka uses the same paradigms for routing, validation, and documentation, making it easy to learn and integrate into your existing streaming data projects. The latest version adds support for newly released Pydantic v2.0, making it significantly faster.
- FastKafka – A Free Open-Source Python Library for Building Kafka-Based Services
What are some alternatives?
Memgraph - Open-source graph database, tuned for dynamic analytics environments. Easy to adopt, scale and own.
cookiecutter-faststream - Cookiecutter template for FastStream apps
redis-om-python - Object mapping, and more, for Redis and Python
RealtimeTTS - Converts text to speech in realtime
aioredis - asyncio (PEP 3156) Redis support
datagen - Generate authentic looking mock data based on a SQL, JSON or Avro schema and produce to Kafka in JSON or Avro format.
arq - Fast job queuing and RPC in python with asyncio and redis.
aiokafka - asyncio client for kafka
Faust - Python Stream Processing
Propan - Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
pythagora - Generate automated tests for your Node.js app via LLMs without developers having to write a single line of code.