utah
bytewax
utah | bytewax | |
---|---|---|
- | 18 | |
142 | 1,495 | |
- | 3.3% | |
0.0 | 9.8 | |
about 6 years ago | 8 days ago | |
Rust | Python | |
MIT License | Apache License 2.0 |
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utah
We haven't tracked posts mentioning utah yet.
Tracking mentions began in Dec 2020.
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.
What are some alternatives?
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
timely-dataflow - A modular implementation of timely dataflow in Rust
Bash-Oneliner - A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
arroyo - Distributed stream processing engine in Rust
mech - 🦾 Mech is a programming language for building data-driven systems like robots, games, and interfaces. Start here!
2022-bytewax-redpanda-air-quality-monitoring
ux-dataflow - UX-Dataflow is a streaming capable data multiplexer that allows you to aggregate data and then process it using a Chain of Responsibility design pattern.
quix-streams - A Python library for building containerized ML and Generative AI applications with Apache Kafka.
awesome-web-scraping - List of libraries, tools and APIs for web scraping and data processing.
Django - The Web framework for perfectionists with deadlines.
Visio - Visio is an AI-powered IDE concept that turns software development into a visual, code-free experience, making programming accessible to everyone.
Flask - The Python micro framework for building web applications.