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. (by drumni)
bytewax
Python Stream Processing (by bytewax)
SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
featured
| nodium | bytewax | |
|---|---|---|
| 1 | 18 | |
| 68 | 1,160 | |
| - | 5.0% | |
| 7.3 | 9.9 | |
| about 2 months ago | 5 days ago | |
| TypeScript | Python | |
| GNU Affero General Public License v3.0 | Apache License 2.0 |
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.
nodium
Posts with mentions or reviews of nodium.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-23.
bytewax
Posts with mentions or reviews of bytewax.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-31.
- 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?
When comparing nodium and bytewax you can also consider the following projects:
mapplot - A map plotter library for Rust.
timely-dataflow - A modular implementation of timely dataflow in Rust
lognplot - Plotting and logging of real-time data for desktop.
arroyo - Distributed stream processing engine in Rust
charming - A visualization library for Rust
2022-bytewax-redpanda-air-quality-monitoring
Desk - 🔮 The application platform for your cyberpunk desk
django-unicorn - The magical reactive component framework for Django ✨
pg_netstat - PostgreSQL extension to monitor database network traffic
Django - The Web framework for perfectionists with deadlines.
egui_node_graph - Build your node graph applications in Rust, using egui
Flask - The Python micro framework for building web applications.