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Dev tools · alternatives · 2026

24 alternatives to Minibatch – Python stream processing

Python stream processing for humans. Contribute to omegaml/minibatch development by creating an account on GitHub.

Minibatch is a Python library for stream processing that enables developers to handle continuous data flows in their applications. It is designed for Python developers who need to process streaming data efficiently.… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Minibatch – Python stream processing launched in 2020; newer entries below may have overtaken it.

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    min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch - kuprel/min-dalle

    2022 · github.com · its alternatives →

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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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    Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our lives combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We’re currently working on a platform that ingests logs and then automatically reproduces, root causes and ultimately fixes production bugs as they happen. You can see some of our work on this here - https://news.ycombinator.com/item?id=39528087 As we were building the root-cause phase of our automated debugger, we realized that we developed…

    2024 · github.com · its alternatives →

  5. 5

    Hey HN! We’re Kevin and Steve. We’re building PromptTools (https://github.com/hegelai/prompttools): open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. Evaluating prompts, LLMs, and vector databases is a painful, time-consuming but necessary part of the product engineering process. Our tools allow engineers to do this in a lot less time. By “evaluating” we mean checking the quality of a model's response for a given use case, which is a combination of testing and benchmarking. As examples: - For generated…

    2023 · github.com · its alternatives →

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    Sampling profiler for Python programs. Contribute to benfred/py-spy development by creating an account on GitHub.

    2018 · 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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    I wrote a little LD_PRELOAD library that makes it easy to inspect and interact with a running program's glibc heap. It's fun to pause processes, free a bunch of their allocations, then resume them. Most of the time, the processes continue as though nothing happened, but sometimes they do interesting things :)

    2025 · github.com · its alternatives →

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    The most versatile way to manage containers locally - afroisalreadyinu/miniboss

    2022 · github.com · its alternatives →

  10. 10
    Fastbatch▲135

    Simplify scheduling tasks on AWS EC2

    2023 · fastbatch.io · its alternatives →

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    tl;dr we’re releasing python bindings for writing stream processing jobs using the Denormalized Rust library. Hey HN, A few months ago we released Denormalized, our embeddable stream processing engine written in rust [0]. Today we’re excited to showcase python bindings for the library. Python is still very much the language of data and we wanted to make it easy for more engineers to write fast streaming jobs without having to learn Rust. Currently, you can use the library to write streaming aggregations, stream joins, and user defined aggregate functions (thought the API for this is quite…

    2024 · github.com · its alternatives →

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    Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020) - benedekrozemberczki/littleballoffur

    2020 · github.com · its alternatives →

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    If Google News had a Python library. Contribute to kotartemiy/pygooglenews development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  14. 14

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

    2022 · github.com · its alternatives →

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

    2017 · github.com · its alternatives →

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    PyMiniRacer is a V8 bridge in Python. Contribute to sqreen/PyMiniRacer development by creating an account on GitHub.

    2016 · github.com · its alternatives →

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    Hi HN! We’re been working hard on this low-code tool for rapid prompt discovery, robustness testing and LLM evaluation. We’ve just released documentation to help new users learn how to use it and what it can already do. Let us know what you think! :)

    2023 · chainforge.ai · 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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    A lightweight database with Python syntax queries, using ZeroMQ - asrp/pyzdb

    2017 · github.com · its alternatives →

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    DEPRECATED StackImpact Python Profiler - Production-Grade Performance Profiler: CPU, memory allocations, blocking calls, exceptions, metrics, and more - stackimpact/stackimpact-python

    2017 · github.com · its alternatives →

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    Hi all, Finding a good data structure for a word processor is a difficult problem. My notebook diaries on the problem go back 25 years when I was frustrated with using Word for my diploma thesis - it was slow and unstable at that time. I ended up getting pretty hooked on the problem. Right now I’m taking a professional break and decided to finally use the time to push these ideas further, and build MiniWord — a WYSIWYG word processor in Python. My goal is to have a native, non-HTML-based editor that stays simple, fast, and is hackable. So far I am focusing on getting the fundamentals right.…

    Apr 2026 · codeberg.org · its alternatives →

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    tl;dr we built an embeddable stream processing engine in Rust using apache DataFusion, check us out at https://github.com/probably-nothing-labs/denormalized Hey HN, We’d like to showcase a very early version of our embeddable stream processing engine called Denormalized. The rise of DuckDB has abundantly made it clear that even for many workloads of Terabyte scale, a single node system outshines the distributed query engines of previous generation such as Spark, Snowflake etc in terms of both performance and cost. Now a lot of workloads DuckDB is used for were normally…

    2024 · github.com · its alternatives →

  24. 24

    Hi HN, Jack here! I'm one of the creators of MonkeyPatch, an easy tool that helps you build LLM-powered functions and apps that get cheaper and faster the more you use them. For example, if you need to classify PDFs, extract product feedback from tweets, or auto-generate synthetic data, you can spin up an LLM-powered Python function in <5 minutes to power your application. Unlike existing LLM clients, these functions generate well-typed outputs with guardrails to mitigate unexpected behavior. After about 200-300 calls, these functions will begin to get cheaper and faster. We've seen 8-10x…

    2023 · github.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 →