streaming-ops
Simulated production environment running Kubernetes targeting Apache Kafka and Confluent components on Confluent Cloud. Managed by declarative infrastructure and GitOps. (by confluentinc)
Streamz
Real-time stream processing for python (by python-streamz)
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| streaming-ops | Streamz | |
|---|---|---|
| 1 | 2 | |
| 60 | 1,061 | |
| - | 1.5% | |
| 2.4 | 5.8 | |
| 2 months ago | 5 months ago | |
| Shell | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
streaming-ops
Posts with mentions or reviews of streaming-ops.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-18.
-
Choosing a stream processor: Kafka Streaming vs Flink vs Spark Streaming vs Storm vs Samza?
We have 100+ python scripts run using kubernetes deployment in GKE, CICD using “streaming-ops”, https://github.com/confluentinc/streaming-ops, only reload changed scripts when pushed to master.
Streamz
Posts with mentions or reviews of Streamz.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-18.
-
Saturday Daily Thread: Resource Request and Sharing! Daily Thread
The best candidate so far is 'streamz', which is simple and lays out a processor in a pipeline. But it doesn't quite have the same level as built in monitoring as apache camel, for better or worse.
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Choosing a stream processor: Kafka Streaming vs Flink vs Spark Streaming vs Storm vs Samza?
I use https://github.com/python-streamz/streamz + Dask for 100% python distributed mini batch real time processing, so we can import any python libraries and less hustle to deploy the server in production. We processed average 120 GB everyday, CDC from Debezium dan Kafka Connect Oracle Big Data Golden Gate.
What are some alternatives?
When comparing streaming-ops and Streamz you can also consider the following projects:
rq - Simple job queues for Python
huey - a little task queue for python
KQ - Kafka-based Job Queue for Python
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
simpleq - A simple, infinitely scalable, SQS based queue.
kombu - Messaging library for Python.
qoo - A simple library for interacting with Amazon SQS.
simple-fastapi-chat - Simple FastAPI chat with multinode suppor
rele - Easy to use Google Pub/Sub
procrastinate - PostgreSQL-based Task Queue for Python
degiro-connector - This is yet another library to access Degiro's API.
smart_open - Utils for streaming large files (S3, HDFS, gzip, bz2...)