Alternatives
Products that do what Turn your Pandas dataframe into a Tableau-style UI for visual analysis does
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:…
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Hello, guys~ I recently developed a data exploration and visualization app which can be used as a different type of open-source alternative to Tableau. It is extremely easy to embed in your apps just as a react component. The original purpose is to develop a lite plugin that can be easily embedded in most cases, it doesn't have to be a large BI, but a lite graphic plugin. GitHub: Kanaries/graphic-walker, https://github.com/Kanaries/graphic-walker The main features implemented: * A user-friendly drag-and-drop-based interaction for exploratory data analysis with…
2023 · github.com
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GWalkR is an open-source R library that allows you to turn your data frame into a tableau style user interface for data exploration and visualization. It also allows you to analysis your data with natural language questions. GWalkR is the R binding of graphic-walker: https://github.com/Kanaries/graphic-walker
2023 · github.com
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Hey HN! I’m excited to share sketch: a tool to help anyone who uses python and pandas quickly iterate and get to answers for their data questions. Sketch installs as a pandas extension that offers utility functions that operate on natural language prompts. Using the `ask` interface you can get answers in natural language. Using the `howto` interface you can get get python and pandas code directly. The primary benefit of this over copilot and chatGPT is that this adds data-content based context so that the generated answers are much more accurate and relevant to the data problem at hand.…
2023 · github.com
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Data Painter is RATH's new feature to interact with your data. It helps you to specify complex visual patterns and find explanations and potential causals. It allows you to do on-flight data labeling, cleaning or even create new features does not exited in original dataset. Everything can be done with a brush tool(painter), You can even play with your data with your fingers on mobile. RATH is an open-source alternative to Tableau, but with more automations. Feedbacks and suggestions are appreciated. RATH's Github: https://github.com/Kanaries/Rath RATH's HomePage:…
2023 · docs.kanaries.net
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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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2020 · 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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Buckaroo is my open source project. It is a dataframe viewer that has the basic features we expect in a modern table - scroll, search, sort. In addition there are summary stats, and histograms available. Buckaroo support Pandas and Polars dataframes and works on Jupter, Marimo, VSCode and Google Colab notebooks. All of this is extensible. I think of Buckaroo as a framework for building table UIs, and an initial data exploration app built on top of that framework. AG-Grid is used for the core table display and it has been customized with a declarative layer so you don't have to pass JS…
2025 · github.com
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2022 · github.com
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2019 · bamboolib.com
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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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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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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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Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…
2024 · 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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Here's a project I've been working on for a little while now. Ripl is a JS library that provides a unified API for rendering shapes on both canvas and SVG interchangeably. Over the years I've used D3 extensively to create data visualisations so I figured I'd have a go at making my own version with a slightly more modern API and stricter TypeScript support. I am aware there are already libraries that can draw to multiple contexts interchangeably, but I've added a few little niceties to Ripl that (as far as I know) some other libraries don't have such as CSS-like query selectors, DOM-like…
2024 · github.com
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