bytewax
Tornado
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bytewax | Tornado | |
---|---|---|
18 | 13 | |
1,144 | 21,512 | |
8.2% | 0.3% | |
9.8 | 7.4 | |
5 days ago | 7 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.
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.
bytewax
- Building a streaming SQL engine with Arrow and DataFusion
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Near Real Time Ingestion to DB using Python
You can probably use Python to solve your problem, there are many ways you can speed up your deserialization/flattening. I work on Bytewax (https://github.com/bytewax/bytewax) and I wouldn't mention it if it wasn't a good fit, but I think it's worth looking at here. It is a stream processor that makes it easy to scale, maintain order, track progress, and you just write native Python.
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Stream processing framework for a new project in Python
Disclaimer: I work on Bytewax, but it feels like this could be a good fit and would save you some time looking around. If you need to do stateful operations (reduce, window, etc.) then you can use bytewax - https://github.com/bytewax/bytewax with pub/sub, but you would need to build a custom connector. There are some guides on how to do that - https://www.bytewax.io/blog/custom-input-connector.
- What are your favorite tools or components in the Kafka ecosystem?
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A Python package for streaming synthetic data
This is great, definitely see the utility here. I have had to hack this together so many times while building streaming workflows with github.com/bytewax/bytewax and other tools.
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Snowflake - what are the streaming capabilities it provides?
When low latency matters you should always consider an ETL approach rather than ELT, e.g. collect data in Kafka and process using Kafka Streams/Flink in Java or Quix Streams/Bytewax in Python, then sink it to Snowflake where you can handle non-critical workloads (as is the case for 99% of BI/analytics). This way you can choose the right path for your data depending on how quickly it needs to be served.
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Sunday Daily Thread: What's everyone working on this week?
Working on how to use https://github.com/bytewax/bytewax to create embeddings in real-time for ML use cases. I want to make a small library for embedding pipelines, but still learning about vector dbs and the tradeoffs between the different solutions.
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Arroyo: A distributed stream processing engine written in Rust
Project looks cool! Glad you open sourced it. It could use some comments in the code base to help contributors ;). I also like the datafusion usage, that is awesome. BTW I work on github.com/bytewax/bytewax, which is based on https://github.com/TimelyDataflow/timely-dataflow another Rust dataflow computation engine.
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Launch HN: BuildFlow (YC W23) – The FastAPI of data pipelines
Cool, nice idea. Can you sub in different backend like bytewax (https://github.com/bytewax/bytewax) for stateful processing?
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Kafka Stream Processing in Java or Scala
If you want to keep in your Python/SQL area of expertise and by all means I don't mean to promote not learning a new language, but just as an FYI. There are some non-Java/Scala tools between streaming databases like risingwave and materialize, streaming platforms like fluvio and redpanda, and stream processors like bytewax and faust.
Tornado
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Epoll: The API that powers the modern internet (2022)
I am not expert in these but I thought Tornado's ioloop was readable enough for me to learn more event loops. Mostly, it was being implemented in pure Python.
https://github.com/tornadoweb/tornado/blob/branch4.5/tornado...
(Had to be in 4.5 because the newer versions 5.x and 6.x, it's switched to Python's stdlib asyncio)
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Tornado web server/framework
I am a bit confused, Tornado is web server like a apache http server, or a framework like django, or both?
- Ask HN: What's the most elegant piece of code you've seen?
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In your experience, what is the best backend framework for working with websockets?
For Python, I use Tornado.
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tornado for a complete beginner
tornado? this https://github.com/tornadoweb/tornado ?
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How to work with an RPC WebSocket Server
I'm writing a Node app that talks to a server that uses Tornado, a Python networking framework. The server uses WebSocket and structured JSON to expose RPCs, like sign_on called with the following message:
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Ask HN: Web frameworks – which less popular framework are you using and why?
I've been using Python's Tornado (http://www.tornadoweb.org/) for years now.
Now on version 6, it's fast, well maintained, mature, and has good docs with readable code.
@bdarnell has done an excellent job maintaining it.
Here's one example:
Tornado supported async style co-routines before asyncio was a thing. Now it uses asyncio under the hood by default -- and it did so with an exceptionally smooth transition.
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The Best Python Web Frameworks🤩
Tornado is another micro framework aimed at a specific use case: asynchronous networking applications. Tornado is well-suited for creating services that open a great many network connections and keep them alive that is, anything involving WebSockets or long polling. Moreover, It requires Python 3.5 or higher and drops Python 2 support entirely.
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TIL : Tornado | Fix "tornado.util.TimeoutError: Operation timed out after 5 seconds"
How to fix tornado.util.TimeoutError: Operation timed out after 5 seconds on tornado test debug?
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Project brainstorming for real-time data display
Here's an official demo chat app using websocket: https://github.com/tornadoweb/tornado/tree/master/demos/websocket, though you should read the docs on websocket for understanding the code.
What are some alternatives?
timely-dataflow - A modular implementation of timely dataflow in Rust
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
arroyo - Distributed stream processing engine in Rust
Flask - The Python micro framework for building web applications.
2022-bytewax-redpanda-air-quality-monitoring
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
django-unicorn - The magical reactive component framework for Django ✨
Django - The Web framework for perfectionists with deadlines.
CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
Pyramid - Pyramid - A Python web framework
sanic - Accelerate your web app development | Build fast. Run fast.