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Dev tools · alternatives · 2026

24 alternatives to Lazily-evaluated graphs from sympy expressions

Streaming reactive and dataflow graphs in Python. Contribute to 1kbgz/tributary development by creating an account on GitHub.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Lazily-evaluated graphs from sympy expressions launched in 2019; newer entries below may have overtaken it.

  1. 1

    A Python stream processing engine modeled after Yahoo! Pipes - nerevu/riko

    2016 · github.com · its alternatives →

  2. 2

    React Flow | Svelte Flow - Powerful open source libraries for building node-based UIs with React (https://reactflow.dev) or Svelte (https://svelteflow.dev). Ready out-of-the-box and infinitely customizable. - xyflow/xyflow

    2021 · github.com · its alternatives →

  3. 3

    Simple Python Calculation Engine. Contribute to bsdz/calcengine development by creating an account on GitHub.

    2021 · github.com · its alternatives →

  4. 4

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

    2017 · github.com · its alternatives →

  5. 5

    Optimal Quantile Approximation in Streams. Contribute to axiomhq/quantiles development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  6. 6

    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 →

  7. 7

    Shiny is an open source web framework for data scientists to create interactive web applications, using Python or R. Shiny for R has been around since 2012, Shiny for Python since 2022. Today, we're releasing Shiny Express, a new syntax for writing Shiny for Python apps that is dramatically simpler and more concise. You can write full-stack interactive applications that manipulate and visualize your data in realtime, using a syntax that is highly reminiscent of writing a regular Python script.

    2024 · shiny.posit.co · its alternatives →

  8. 8

    Ultra-fast and customizable Python charts. Contribute to reflex-dev/xy development by creating an account on GitHub.

    Jul 2026 · github.com · its alternatives →

  9. 9

    Python library for embedding large graphs in 2D space, using force-directed layouts. - H4kor/graph-force

    2022 · github.com · its alternatives →

  10. 10

    The minimal javascript library to create flowcharts ✨ - alyssaxuu/flowy

    2019 · github.com · its alternatives →

  11. 11

    Streamlit — A faster way to build and share data apps. - streamlit/streamlit

    2019 · github.com · its alternatives →

  12. 12

    I built a Rust-powered Wavelet Matrix library for Python. There were surprisingly few practical Wavelet Matrix implementations available for Python, so I implemented one with a focus on performance, usability, and typed APIs. It supports fast rank/select, top-k, quantile, range queries, and even dynamic updates. Feedback welcome!

    Dec 2025 · pypi.org · its alternatives →

  13. 13

    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 →

  14. 14

    A graph-based functional API for building complex scikit-learn pipelines. - alegonz/baikal

    2020 · github.com · its alternatives →

  15. 15

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

    2020 · github.com · its alternatives →

  16. 16

    A customizable Svelte component for building node-based editors and interactive diagrams

    2023 · svelteflow.dev · its alternatives →

  17. 17

    An experimental programming language for data flow - calebwin/pipelines

    2019 · github.com · its alternatives →

  18. 18

    A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning. - CCExtractor/vardbg

    2020 · github.com · its alternatives →

  19. 19

    Utility function to parallelise pipelines of Python asyncio iterators/generators - michalc/asyncio-buffered-pipeline

    2020 · github.com · its alternatives →

  20. 20

    Like the Graph but with Python

    2023 · its alternatives →

  21. 21MG

    What: Mr. Graph is a python library designed to make composing graphs of sync and async functions easy! Use google style docstrings to automagically create dataclasses and chain together function calls into graphs. Why: I like the design of Dagster, but not the latency. For apps and systems engineering, sometimes I want to compose a graph out of regular python functions. I don;t need all the heavy machinery that comes with a full workflow engine. Current features: - Use with either async or sync functions - Uses google style doc strings to name return values. - Creates dataclasses for each…

    2023 · mr-graph.readthedocs.io · its alternatives →

  22. 22

    Just wanted to share with HN a simple/minimal open source Python library that generates SVG files visualizing two dimensional data and distributions, in case others find it useful or interesting. I wrote it as a fun project, mostly because I found that the standard libraries in Python generated unnecessarily large SVG files. One nice property is that I can configure the visuals through CSS, which allows me to support dark/light mode browser settings. The graphs are specified as JSON files (the repository includes a few examples). It supports scatterplots, line plots, histograms,…

    Mar 2026 · github.com · its alternatives →

  23. 23

    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 →

  24. 24

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

    2016 · raftlib.io · 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 →

Lazily-evaluated graphs from sympy expressions…