Dev tools · alternatives · 2026
24 alternatives to Bytewax – Python Stateful Stream Processing on Timely Dataflow
Python Stream Processing. Contribute to bytewax/bytewax development by creating an account on GitHub.
Bytewax is a Python framework for building stateful stream processing applications using Timely Dataflow. It enables developers to process and transform continuous data streams with state management capabilities. The… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Bytewax – Python Stateful Stream Processing on Timely Dataflow launched in 2022; newer entries below may have overtaken it.
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2018 · gitlab.com · its alternatives →
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Python stream processing for humans. Contribute to omegaml/minibatch development by creating an account on GitHub.
2020 · github.com · its alternatives →
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2024 · github.com · its alternatives →
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A Python stream processing engine modeled after Yahoo! Pipes - nerevu/riko
2016 · github.com · its alternatives →
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2025 · slipstream.readthedocs.io · its alternatives →
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The author also wrote a blog post on how to use it with Bytewax, a Python stream processor, to read and analyze Mastadon posts. https://bytewax.io/blog/top-kat-and-streaming-algorithms-in-...
2023 · github.com · its alternatives →
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ByteNite▲206Hi HN, I’m one of the creators of ByteNite (https://bytenite.com). We built it for developers running compute-heavy containerized workloads (AI, ETL, batch jobs) who are frustrated with the limitations of traditional serverless platforms: timeouts, cold starts, orchestration complexity, and limited runtime control. ByteNite is a serverless platform that lets you submit distributed jobs packaged as Docker containers. You define simple or complex fan-out/fan-in logic, set your hardware requirements, and we handle the rest—distributing execution across warm cloud runners (CPUs,…
2025 · docs.bytenite.com · its alternatives →
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I had already posted the project a couple of years ago, and it gained some interest, but a lot of stuff has been done since then, especially regarding performance, a completely new JSON store, a REST API, various internals refactored, an improved JSONiq based query engine allowing updates, implementing set-oriented join optimizations, a now already dated web UI, a new Kotlin based CLI, a Python and TypeScript client to ease the use of Sirix... First prototypes from a precursor stem already from 2005. So, what is it all about? The system uses ideas from ZFS (a keyed index trie, storing…
2023 · github.com · its alternatives →
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Utility function to parallelise pipelines of Python asyncio iterators/generators - michalc/asyncio-buffered-pipeline
2020 · github.com · its alternatives →
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Robyn is a Super Fast Async Python Web Framework with a Rust runtime. - sparckles/Robyn
2023 · github.com · its alternatives →
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Robyn is a high-performance async Python web framework powered by a Rust runtime. Build fast, scalable web applications with Python's simplicity and Rust's speed.
2025 · robyn.tech · its alternatives →
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Your home for data science and AI. The world's leading publication for data science, data analytics, data engineering, machine learning, and artificial intelligence professionals.
2019 · towardsdatascience.com · its alternatives →
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Yes, Python. I can already hear the screams from the rafters telling me how terrible of a choice Python is - but in my case, I valued modularity, extensibility, hackability over raw performance. (It was also a challenge to myself to see how far I can get without referencing existing implementations) Synchrotron processes nodes: simple Python classes with typed I/O and a render() method for processing. It can be as concise as 5 lines: class IncrementNode(Node): input: StreamInput output: StreamOutput def render(self, ctx): self.out.write(self.a.read(ctx) + 1) Nodes can then be spawned…
2025 · synchrotron.thatother.dev · its alternatives →
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Hello and happy new year! We're excited to introduce the Pyper package for concurrency & parallelism in Python. Pyper is a flexible framework for concurrent / parallel data processing, following the functional paradigm. Source code can be found on [github](https://github.com/pyper-dev/pyper) Key features: Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous work. Functional Paradigm: Python functions are the building blocks of data pipelines. Let's you write clean, reusable…
2025 · github.com · its alternatives →
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Simple Python Calculation Engine. Contribute to bsdz/calcengine development by creating an account on GitHub.
2021 · github.com · its alternatives →
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Open source IDE plugins for programmers.
2022 · wakatime.com · its alternatives →
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This project explores the integration of multithreading into the asyncio event loop in Python. While this was initially built with enhancing CPU utilization for FastAPI servers in mind, the approach can be used with more general async programs too. If you’re interested in diving deeper into the details, I’ve written a blog post about it here: https://www.neilbotelho.com/blog/multithreaded-async.html
2024 · github.com · its alternatives →
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An experimental programming language for data flow - calebwin/pipelines
2019 · github.com · its alternatives →
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Hello HN, I'm releasing Hyperdiv (https://hyperdiv.io), a framework for rapidly developing reactive browser UIs in Python, with immediate-mode syntax and using Shoelace (https://shoelace.style) as its built-in component system. This short coding video will give you a good idea of what it is: https://www.youtube.com/watch?v=4XJKfxaqvGE I wrote a brief article about the motivation and approach: https://hyperdiv.io/intro.html Hyperdiv doesn't aim to compete with serious full-stack frameworks. The core aim was to make it easy and fast to…
2024 · github.com · its alternatives →
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Hey HN! I built a local Python prototyping tool that is finally the Python development environment I've always wanted. It has a Jupyter notebook for data crunching, a database of your choice (Python or MongoDB), and a Streamlit app for building a frontend visualization. You can edit the Streamlit backend via an embedded VSCode editor, or locally on your own IDE. The best part for me is that the database connectors within Jupyter and Streamlit are configured out-of-the-box, so you don't need to spend time thinking about how to tie all that together - you can just pick the database you want to…
2023 · github.com · its alternatives →
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We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…
Oct 2025 · github.com · its alternatives →
- 24P5Pywebview 5▲126
I am happy to announce the next major version of pywebview, a lightweight Python framework for building modern desktop applications with web technologies. The new version introduces powerful state management, network event handling, and significant improvements to Android support. See https://pywebview.flowrl.com/blog/pywebview6.html for details.
2024 · pywebview.flowrl.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →