Streamz
Real-time stream processing for python (by python-streamz)
smart_open
Utils for streaming large files (S3, HDFS, gzip, bz2...) (by piskvorky)
Our great sponsors
Streamz | smart_open | |
---|---|---|
3 | 6 | |
1,217 | 3,068 | |
1.5% | 1.2% | |
0.0 | 8.1 | |
over 1 year ago | 1 day ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT 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.
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.
-
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.
smart_open
Posts with mentions or reviews of smart_open.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-29.
-
Use AWS to unzip all of Wikipedia in 10 minutes
We’re using smart_open, which is an amazing library that lets you open objects in S3 (and other cloud object stores) as if they’re files on your filesystem. It’s obviously critical that we’re able to seek to an arbitrary position in an S3 file without first downloading the whole thing. We’ll assume you’re using Poetry, but you should be able to follow along with any other package manager:
-
Using AWS and Hyperscan to match regular expressions on 100GB of text
If you didn’t follow along with the first article in this series, you should be able to follow this article with your own dataset as long as you install smart_open and Meadowrun. smart_open is an amazing library that lets you open objects in S3 (and other cloud object stores) as if they’re files on your filesystem, and Meadowrun makes it easy to run your Python code on the cloud.
-
Ask HN: Codebases with great, easy to read code?
I see that you're primarily looking into Python work, so I'd recommend `smart_open` as a nice, compact way to get started.
-
Fsspec: Filesystem Interfaces for Python
See also smart_open: https://github.com/RaRe-Technologies/smart_open which might be more user-friendly? Never used it myself but it was on HN before. Discussion on their bugtracker: https://github.com/RaRe-Technologies/smart_open/issues/579
What are some alternatives?
When comparing Streamz and smart_open you can also consider the following projects:
s3fs - Amazon S3 filesystem for PyFilesystem2
rq - Simple job queues for Python
huey - a little task queue for python
KQ - Kafka-based Job Queue for Python
simpleq - A simple, infinitely scalable, SQS based queue.
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
kombu - Messaging library for Python.
procrastinate - PostgreSQL-based Task Queue for Python
qoo - A simple library for interacting with Amazon SQS.
rele - Easy to use Google Pub/Sub
s3path - s3path is a pathlib extension for AWS S3 Service
simple-fastapi-chat - Simple FastAPI chat with multinode suppor