bytewax
quokka
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bytewax | quokka | |
---|---|---|
18 | 23 | |
1,102 | 1,076 | |
11.3% | - | |
9.8 | 8.3 | |
2 days ago | 6 months 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
- 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.
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ETL using pure python (no Pandas)
Also worth considering bytewax for streaming ingestion and transformation if you are focusing on Python.
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Using Bytewax to build an anomaly detection app
Bytewax is an up-and-coming data processing framework that is built on top of Timely Dataflow, which is a cyclic dataflow computational model. At a high-level, dataflow programming is a programming paradigm where program execution is conceptualized as data flowing through a series of operator based steps. The Timely Dataflow library is written in Rust which makes it blazingly fast and easy to use due to the language's great Python bindings.
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This Week in Python (July 15, 2022)
bytewax – A Python framework for building highly scalable dataflows
quokka
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How Query Engines Work
An awesome read!
Something related that I found out about from HN a few months back is another engine called quokka. It's particularly interesting and applicable how quokka schedules distributed queries to outperform Spark https://github.com/marsupialtail/quokka/blob/master/blog/why...
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Algorithmic Trading with Go
Hi Justin, you might be interested in my blog: https://github.com/marsupialtail/quokka/blob/master/blog/bac... advocating a cloud based approach.
You don't have to use the system I am building, but it's worth thinking about that design.
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Daft: A High-Performance Distributed Dataframe Library for Multimodal Data
Hi -- I am the author of Quokka: https://github.com/marsupialtail/quokka, trying to be distributed Polars. I am trying to go for API compatibility, or at least supporting most of the API.
I am not focused on complex data types though.
SQL support is very challenging.
I work on Quokka (https://github.com/marsupialtail/quokka). I support Iceberg reads. Recently we are adding SQL support from just parsing the DuckDB logical plan, though that is very challenging as well.
The Python world lacks a standard for a plug and play SQL query optimizer. Apache Calcite is good for the JVM world, but not great if you are trying to cut out the JVM.
- Why your dataframe library needs to understand vector embeddings
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Launch HN: DAGWorks – ML platform for data science teams
would love to collaborate on an integration with pyquokka (https://github.com/marsupialtail/quokka) once I put out a stable release end of this month :-)
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ETL using pure python (no Pandas)
Wanted to add quokka as something that might be interesting.
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Quokka and Spark/Databricks
Came across this project a few days ago: https://github.com/marsupialtail/quokka
- Pure Python Distributed SQL Engine
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This Week In Python
quokka – Open source SQL engine in Python
What are some alternatives?
timely-dataflow - A modular implementation of timely dataflow in Rust
arroyo - Distributed stream processing engine in Rust
2022-bytewax-redpanda-air-quality-monitoring
opteryx - 🦖 A SQL-on-everything Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.
django-unicorn - The magical reactive component framework for Django ✨
nodium - Nodium is an easy-to-use data analysis and automation platform using Rust with a visual node-based interface. It includes a plugin browser for downloading extensions, making it versatile for a wide range of data manipulation tasks. No coding experience required.
Django - The Web framework for perfectionists with deadlines.
Flask - The Python micro framework for building web applications.
Pyramid - Pyramid - A Python web framework
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
Bottle - bottle.py is a fast and simple micro-framework for python web-applications.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python