Alternatives
Products that do what Starfyre – A WASM Based SSR Python Front End Web Framework does
Hey HN community, I'm excited to share Starfyre, a cutting-edge library that enables you to create front-end applications by leveraging the power of Python. It's perfect for those who love Python and want to extend its capabilities to frontend development. Key Features: * Reactive Frontend Development: Starfyre allows you to build reactive frontends using only Python. This means you can create highly interactive and real-time applications with ease. * Effortless Interactive Application Creation: With Starfyre, the process of creating interactive applications becomes straightforward. You…
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Hi HN! Last year, we shared marimo [1], an open-source reactive notebook for Python with support for execution through WebAssembly [2]. We wanted to share something new: you can now run marimo and Jupyter notebooks directly from GitHub in a Wasm-powered, codespace-like environment. What makes this powerful is that we mount the GitHub repository's contents as a filesystem in the notebook, making it really easy to share notebooks with data. All you need to do is prepend 'marimo.app' to any Python notebook on GitHub. Some examples: - Jupyter Notebook:…
2025 · docs.marimo.io
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Hi HN! Last month, we shared marimo [1][2], an open-source reactive notebook for Python. For those who missed it, marimo notebooks are reproducible, stored as Python files, executable as Python scripts, and deployable as web apps. It’s now possible to run marimo notebooks entirely in the browser via WebAssembly (WASM). - A marimo tutorial as a WASM notebook: https://marimo.app/l/c7h6pz - Training a neural network with Karpathy’s micrograd: https://marimo.app/l/xpd4te - Visualizing attractors, as a read-only app:…
2024 · marimo.app
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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
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2023 · github.com
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Probly was built to reduce context-switching between spreadsheet applications, Python notebooks, and AI tools. It’s a simple spreadsheet that lets you talk to your data. Need pandas analysis? Just ask in plain English, and the code runs right in your browser. Want a chart? Just ask. While there are tools available in this space like TheBricks, Probly is a minimalist, open-source solution built with React, TypeScript, Next.js, Handsontable, Hyperformula, Apache Echarts, OpenAI, and Pyodide. It's still a work in progress, but it's already useful for my daily tasks.
2025 · github.com
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Hi HN, We’re Afnan, Theo and Ruben. We’re all ML engineers or data scientists, and we kept running into the same thing: we’d write useful Python functions, either for ourselves or internal tools, and then hit a wall when we wanted to share them as actual apps. We tried Streamlit and Gradio. They’re great to get something up quickly. But as soon as we needed more flexibility or something more polished, there wasn’t really a path forward. Rebuilding the frontend properly in React isn’t where we bring the most value. So we started building Davia. You keep your code in Python, decorate the…
2025 · davia.ai
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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
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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
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I created this ORM to fill a gap in the Python ecosystem. Due to the nature of typing in Python there are no other Python ORMs that can provide correct type hints. Prisma Python manages to work around this by auto-generating python types. Aside from static type checking, providing type hints means that you will get autocomplete suggestions for you which for me is the killer feature for this ORM (see the GIF in the README for an example). It's also built on top of Prisma, a next-generation ORM for TypeScript which means that the core query building and connection handling has been battle…
2022 · github.com
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Hi everyone! I've been working on a web search interface for Python's documentation as a personal project, and I think it's ready for other people to use... Please give it a go (and join me in praying to the server gods): https://pythondocs.xyz/ Here's the tech stack for those interested: - Parser: Beautiful Soup + Mozilla Bleach - Database: in-memory SQLite (aiosqlite) + SQLAlchemy - Web server: FastAPI + Uvicorn + Jinja2 - Front end: Tailwind CSS + htmx + Alpine.js I have ideas for future improvements but hopefully the current version is useful to someone. Let me know what…
2022 · pythondocs.xyz
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2022 · gitlab.com
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I started this project a couple of weeks ago because I was stuck on my side project and needed some motivation. For a very long time I wanted to get back to do something useful in lisp/scheme, did a quick research and settled on CHICKEN mostly because it's relatively well maintained, fast enough, it's extremely easy to build/install and very easy to write interop to pretty much any library. Most of the projects that I've written on the side have been using some combination of Sinatra + Sequel + Postgres/Redis/Something else + HTMX. I love the simplicity of Sinatra's API…
2025 · github.com
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Hello HN! We’re Leo and Mandeep, founders of Datapane (https://datapane.com). We're building a way to create reports, dashboards, and web apps from your existing data using Python. Think of it as a combination of React and htmx, specifically designed for the Python data stack. Our GitHub is https://github.com/datapane/datapane and you can try building a report or app in ~2 minutes on Codespaces: https://try.datapane.com We started building Datapane at our previous start-up, where we struggled to deliver ML model results to clients. Much to our…
2023
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Hi HN, I built Weft over the last two weeks of Christmas break. I was teaching my kids Python and noticed the lack of interactivity in some of their learning experiences. The feedback loop was too long. I wanted to provide them with an experience similar to Bret Victor's concepts on Learnable Programming; i.e. an easier way to learn is to see immediately the reaction to your actions. Hence the reactivity ;) It is currently in early alpha and I’m planning to open-source the repo under AGPLv3 soon once I clean up the prototype code. I wrote up a short blog post with more details on the "Why"…
Jan 2026 · play.weft.sh
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2018 · starlette.io
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Hi there, I built a React code editor component that also compiles, executes and returns the outputs of the program written in it (via pyodide/webassembly). I believe that this is a useful package for those building projects with web-based code editors. Expanding the library to be more flexible + have greater language support is a goal for the future. Hope it helps someone out there - please feel free to reach out if I can assist. Feedback and suggestions are always welcome.
2024 · npmjs.com
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Hello, HN community! This is the first time I’m doing a Show HN, and I'm excited to introduce the library I've been working and believing in for the last year, Taipy! This Python library was created to make building complete applications on data science and ML projects easier and so more accessible to end-users. Basically, it allows any data scientist to build a production-ready application and stop being stuck at the pilot stage. It’s all Python making having to do the job of creating and deploying the app a one to two person job instead of going for specialized developers that are…
2024 · taipy.io
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Hi! I’ve always wanted a simple way to throw my Python projects online. Just to try things out, share them, or test a webhook with a real endpoint. But every time I hit the same wall: Buy a server, Set up HTTPS, Configure DNS, Get a domain. Write boilerplate to glue it together. It always felt like too much for something so small that I wanted to test. So Ive been hacking on Thread4 (currently in alpha): a tiny platform where you can write a Python function and go live instantly at yourname.thread4.eu. It’s not for production use, just quick testing, experimenting, or sharing your idea…
2025 · thread4.eu
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It's very early days for the project, but I wanted to share it to see if there is interest. It is the final piece of the FastAPI server-side rendering stack I started building with FastHX and htmy (the two dependencies of this project besides FastAPI). Think of it as a more powerful and convenient alternative to tools like FastHTML, powered by FastAPI (without any modifications). I hope you'll like it.
Oct 2025 · volfpeter.github.io
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