bytewax
Bottle
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bytewax | Bottle | |
---|---|---|
18 | 21 | |
1,144 | 8,292 | |
8.2% | 0.6% | |
9.8 | 2.0 | |
6 days ago | 3 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
Bottle
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Ask HN: What are some unpopular technologies you wish people knew more about?
Bottle.py: uber-fast and simple python web microframework, about 3x faster, saner, and more memory-efficient than Flask in my experience: https://github.com/bottlepy/bottle
Fossil: distributed version control and much more in a single executable, from the creators of SQLite: https://fossil-scm.org/
- Why the bottle framework uses only one file
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Can anyone show me where the first piece of code is reused in the second?
This walkthrough I am using as learning material says the vulnerable code (in the first snippet below, from github here: https://github.com/bottlepy/bottle/issues/900), is replicated in the webpage in the second snippet below and so I know this app is vulnerable to the exploit shown in highlighted in the github link.
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I want to read good python code, where can I find some excellent code?
Here's a web framework in a single file: bottle.py
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GitHub - miguelgrinberg/microdot: The impossibly small web framework for Python and MicroPython.
I don't do much development for microcontrollers or limited resource environments, but it's nice to have a low boilerplate tool for throwing together quick web apps. I've used Bottle for that in the past. It looks like this might have more of an API focus, rather than templates or static pages? Very cool, will check it out.
- Python projects with best practices on Github?
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how many lines per file or script
However much makes sense for your project. bottle.py is a web framework in a single file, and it's about 4500 lines of code. Should you do the same thing? Probably not. But you can.
- Microframework recommendations
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Server-side Dart
There was a time, I want to start a new project and have to choose what technologies to use for the frontend and backend parts as well. Research gets me to Aqueduct and Shelf, both of them weren't looking actively developing and supported and that leads me to the idea to make my own small micro-framework like Echo for Golang or Bottle for Python. And it was easy to decide: I've had time and motivation :)
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Python frameworks | best web frameworks for python
It was developed by Marcel Hellkamp and Bottle was initially released on July 1 2009 it is cross-platform and open-source. its Github repository is https://github.com/bottlepy/bottle. It is integrated with Python, Vue JS, and Jinja.
What are some alternatives?
timely-dataflow - A modular implementation of timely dataflow in Rust
Flask - The Python micro framework for building web applications.
arroyo - Distributed stream processing engine in Rust
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
2022-bytewax-redpanda-air-quality-monitoring
CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
django-unicorn - The magical reactive component framework for Django ✨
web.py - web.py is a web framework for python that is as simple as it is powerful.
Django - The Web framework for perfectionists with deadlines.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Pyramid - Pyramid - A Python web framework
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python