Alternatives
Products that do what Violit does
Pure Python Web Framework: Streamlit simplicity, zero reruns
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Hello, we just launched the alpha release of Pynecone - a way to build full-stack web apps in pure Python. The framework is easy to get started with even without previous web dev experience and is completely open source / free to use. We made Pynecone for Python devs who want to make web apps, but don’t want the overhead of having to learn or use Javascript. We wanted more flexibility than existing Python frameworks like Streamlit/Dash that don't allow the user to make real, customizable web apps. With Pynecone, you can make anything from a small data science/python project to…
2022 · github.com
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Streamlit is a Python web app framework for the fast development of data apps. This project is to make it run completely on web browsers with power of Pyodide/Wasm.
2022 · github.com
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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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There are a lot of Python to web app frameworks going around these days but I wanted something that was a little more lightweight that just generates HTML pages and can be embedded in Flask or other Python web servers incrementally. PyVibe uses Python components to construct a page with styling that you can use in Flask, in a static site, or even in Pyodide.
2023 · pyvibe.com
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I love Streamlit but have run into many situation where taking it from PoC to MVP state is insurmountable. With all the recent HN hype around htmx and sematic html / classless css I decided to build a Streamlit alternative using these on top of FastAPI. This has a couple advantages: 1) easier to extend when you move past PoC since the FastAPI app is exposed (allowing adding more routes) and hstream acts more like a typical web stack 2) with htmx and html (plus MVP.css) doing the heavy lifting the package is alot less complex and easier to reason about - and hopefully more performant…
2022 · github.com
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Streamlit, a Python web app framework, can run on web browsers with WebAssembly, and you can write and share its apps with this online platform. Get the Python productivity, online shareability, and data privacy safety in your data apps.
2022 · edit.share.stlite.net
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2025 · robyn.tech
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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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2019 · timothycrosley.github.io
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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
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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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Hey everyone, I built reaktiv, a small reactive signals library for Python, inspired by Angular’s reactivity model. It lets you define Signals, Computed Values, and Effects that automatically track dependencies and update efficiently. The main focus is async-first reactivity without external dependencies. Here is an example code: ``` import asyncio from reaktiv import Signal, ComputeSignal, Effect async def main(): count = Signal(0) doubled = ComputeSignal(lambda: count.get() * 2) async def log_count(): print(f"Count: {count.get()}, Doubled: {doubled.get()}") Effect(log_count).schedule()…
2025 · github.com
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Apr 2026 · github.com
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Hello Hacker News! We are Rick & Yannick from Orchest (https://www.orchest.io - https://github.com/orchest/orchest). We're building a visual pipeline tool for data scientists. The tool can be considered to be high-code because you write your own Python/R notebooks and scripts, but we manage the underlying infrastructure to make it 'just work™'. You can think of it as a simplified version of Kubeflow. We created Orchest to free data scientists from the tedious engineering related tasks of their job. Similar to how companies like Netflix, Uber and Booking.com…
2020
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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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2019 · github.com
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Hello everyone! My friend Ori Kabeli and I have been playing around with GPT-4 Vision as a way to control websites and complete complicated tasks online. We created a small proof of concept python package called pywebagent. pywebagent allows performing high level tasks in websites, accessible to developers as simple python functions. It is highly experimental, and only sometimes works, but we think it still might be useful to all you tinkerers out there. Feel free to contribute! Example Use Case: You can order things from amazon with one line of code. pywebagent.act(…
2023 · github.com
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