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Dev tools · alternatives · 2026

SA

Slipstream is a Python library for building stateful stream processing applications. It enables developers to process continuous data streams while maintaining state across operations. The library is designed for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

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    Hi HN! This is my pet project, written from scratch because there is so much to discover and learn in the process. The focus is on simplicity and incremental updates. Progress is slow because I do not have much spare time to work on this, but I would love to hear some feedback. Regards

    2022 · github.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 →

  3. 3PA
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    Taipy 3.0▲304

    Build powerful data and AI apps in pure Python

    2024 · github.com · its alternatives →

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    Simple, easy to use stream computation library for C++.

    2016 · raftlib.io · its alternatives →

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    Python Stream Processing. Contribute to bytewax/bytewax development by creating an account on GitHub.

    2022 · 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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    Distributed Stream and Batch Processing. Contribute to hazelcast/hazelcast-jet development by creating an account on GitHub.

    2020 · github.com · 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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    Python function to stream unzip all the files in a ZIP archive on the fly - uktrade/stream-unzip

    2021 · github.com · its alternatives →

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    I'm excited to showcase Kreuzberg! Kreuzberg is a modern Python library built from the ground up with async/await, type hints, and optimized I/O handling. It provides a unified interface for extracting text from documents (PDFs, images, office files) without external API dependencies. Key technical features: - Built with modern Python best practices (async/await, type hints, functional-first) - Optimized async I/O with anyio for multi-loop compatibility - Smart worker process pool for CPU-bound tasks (OCR, doc conversion) - Efficient batch processing with concurrent…

    2025 · github.com · its alternatives →

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    Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…

    2023 · colab.research.google.com · its alternatives →

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    Python library for creating data pipelines with chain functional programming - EntilZha/PyFunctional

    2017 · github.com · its alternatives →

  14. 14PA
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    The Python web framework for building apps. Contribute to dropseed/plain development by creating an account on GitHub.

    Apr 2026 · 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 →

  18. 18FA
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    Prefect is a workflow orchestration framework for building resilient data pipelines in Python. - PrefectHQ/prefect

    2019 · github.com · its alternatives →

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    Hi HN, I built a Java library called SmartFileProcessor to make high-performance, multi-threaded file processing simpler and more maintainable. Most Java file processing solutions either involve a lot of boilerplate or don’t handle concurrency, backpressure, or metrics well out of the box. I needed something fast, clean, and production-friendly — so I built this. Key features: Multi-threaded line/batch processing using a configurable thread pool Producer/consumer model with built-in backpressure Buffered, asynchronous writing with optional auto-flush Live metrics: memory usage,…

    2025 · github.com · its alternatives →

  22. 22IW
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    Goldbaum et al., (2018). unyt: Handle, manipulate, and convert data with units in Python . Journal of Open Source Software, 3(28), 809, https://doi.org/10.21105/joss.00809

    2018 · joss.theoj.org · its alternatives →

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