kafka-python
aiokafka
kafka-python | aiokafka | |
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8 | 3 | |
5,489 | 1,051 | |
- | 2.0% | |
6.4 | 8.6 | |
19 days ago | 8 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
kafka-python
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kafka-python VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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quix-streams VS kafka-python - a user suggested alternative
2 projects | 7 Dec 2023
Kafka-python is a producer-consumer library for one message at a time applications. Quix Streams is a Python stream processing library for ML and AI applications. Use them together in your event streaming architecture.
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Improving Kafka interfaces
kafka-python - https://github.com/dpkp/kafka-python
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Monitor Kafka Producer and Consumer Metrics using Prometheus
If you're using kafka-python take a look at it's sourcecode.
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Transition from RPA to "traditional" programming role
contribute to opensource. companies care about distributed systems at the moment, so if you can contribute to something like kafka https://kafka.apache.org/project or a popular wrapper https://github.com/dpkp/kafka-python, or a distributed systems platform https://github.com/redpanda-data/redpanda, that would be a strong signal that you can provide value and work with others as you deliver code.
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New to kafka..
Eg this https://kafka-python.readthedocs.io/
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Using Kafka with Python... is Confluent the only option?
Related issue thread - https://github.com/dpkp/kafka-python/issues/2290
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Librdkafka – the Apache Kafka C/C++ client library
I've been working on a pure-Racket Kafka client[1] off and on (for fun) since February and it's a good amount of work. When the official protocol docs and Wireshark fail me, I usually look at librdkafka and kafka-python[2] to figure out how things are supposed to fit together. Kudos to the authors of both libraries for writing code that's easy to follow!
[1]: https://defn.io/2022/03/12/ann-racket-kafka/
[2]: https://github.com/dpkp/kafka-python
aiokafka
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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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Improving Kafka interfaces
aiokafka - https://github.com/aio-libs/aiokafka
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Recently joined a DE team and I've been asked to study async, multiprocessing, queuing, and Kafka. Can anybody tell me how to proceed and also share resources that I can use.
It’s hard to understand exactly what is meant by what you posted but could they be referring to asyncio libraries for use with Kafka in this process? For example, https://github.com/aio-libs/aiokafka
What are some alternatives?
redis-py - Redis Python client
confluent-kafka-python - Confluent's Kafka Python Client
PyMongo - MongoDB Ecosystem Documentation
Faust - Python Stream Processing
py2neo - Py2neo is a comprehensive toolkit for working with Neo4j from within Python applications or from the command line.
faust - Python Stream Processing. A Faust fork
kcat - Generic command line non-JVM Apache Kafka producer and consumer
quix-streams - A Python library for building containerized ML and Generative AI applications with Apache Kafka.
HappyBase - A developer-friendly Python library to interact with Apache HBase
faststream - FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Plyvel - Plyvel, a fast and feature-rich Python interface to LevelDB
Propan - Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker