Alternatives
Products that do what Datapane – A new way to build reports, dashboards, and apps in Python does
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…
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2021 · datapane.com
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Hey, guys. I've just made a plugin which turns your pandas dataframe into a tableau-style component. It allows you to explore the dataframe with easy drag-and-drop UI. You can use PyGWalker in Jupyter, Google Colab, or even Kaggle Notebook to easily explore your data and generate interactive visualizations. PyGWalker (pronounced like "Pig Walker", just for fun) is named as an abbreviation of "Python binding of Graphic Walker". Here are some links to check it out: The Github Repo: https://github.com/Kanaries/pygwalker Use PyGWalker in Kaggle:…
2023 · github.com
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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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I made this because building UIs in a lexical medium like code is super annoying. I have to pre-render what I’m making in my head, and then jump between the browser and IDE to test. I was inspired by the developer console in chrome and safari since I end up editing css there because it’s ironically more convenient. Hope it’s useful!
2022 · dev.aspect.app
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Hey HN, Scripton (https://scripton.dev) is a Python IDE built for fast, interactive visualizations and exploratory programming — without the constraints of notebooks. Why another Python IDE? Scripton hopes to fill a gap in the Python development ecosystem by being an IDE that: 1. Focuses on easy, fast, and interactive visualizations (and exposes rich JS plotting libraries like Observable Plot and Plotly directly to Python) 2. Provides a tightly integrated REPL for rapid prototyping and exploration 3. Is script-centric (as opposed to, say, notebook-style) A historical detour for why…
2025 · scripton.dev
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Hey HN, I’m Jimmy, co-founder of Dropbase (https://www.dropbase.io). We are an internal tools builder for Python developers. All you have to do is import any Python scripts/libraries, declare UI components, and layer app permissions so you can share them with others. We’re a middle ground between Airplane and Retool—simpler UI creation than Airplane, more code-centered than Retool. UI building is declarative and you can bind Python scripts/functions to UI components. You can write Python scripts/functions using our App Studio with support from a Python Language…
2023 · github.com
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Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020
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Hi HN, Three months ago, I took a job at Baseten to help craft and document an application builder that lets data scientists build full-stack, production-ready applications around their ML models without worrying about containers, Flask, or React. From my first day, everyone was focused on what would happen today: opening up our public beta. I’m super excited to see what you build with Baseten. If you want to take Baseten for a full-speed test drive, follow along with this tutorial, where you can build and deploy an application in 20 minutes:…
2022 · baseten.co
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Many JS libraries exist to build graphs on the web (Vega, chartJS, Plotly...). They allow to make charts quickly. But you lose flexibility: you're limited by the options they offer. I just created a gallery with hundreds of graphs made with d3.js and React. - Examples are split by graph types - They all come with explanation and code sandboxes - Gradual complexity to ease the learning curve It took me ages to create this project! Feedback welcome!
2023 · react-graph-gallery.com
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Creating data visualizations with AI nowadays often means chat, chat and more chats...and writing long prompts can be annoying while they are also not the most effective way to describe your visualization designs. Data Formulator blends UI interaction with natural language so that you can create visualizations with AI much more effectively! You can: * create rich visualizations beyond initial datasets, where AI helps transforming and visualizing data along the way * iterate your designs and dive deeper using data threads, a new way to manage your conversation with AI. Here is a demo video:…
2024 · github.com
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Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make…
Jul 2026 · microsoft.github.io
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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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Feb 2026 · github.com
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