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Dev tools · alternatives · 2026

24 alternatives to Low code Jupyter Notebook alternative with dashboards

Interactive Computing for Humans. Contribute to herqooly/herqooly development by creating an account on GitHub.

This is a low-code development tool designed as an alternative to Jupyter Notebooks, offering integrated dashboard capabilities. It targets developers and data scientists who want to build interactive applications with… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Low code Jupyter Notebook alternative with dashboards launched in 2020; newer entries below may have overtaken it.

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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 · its alternatives →

  2. 2

    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 · its alternatives →

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    Mercury is a perfect tool to share your Python notebooks with non-programmers. - You can turn your notebook into web app. - You can add interactive widgets to your notebook by defining the YAML header. Your users can change the input and execute the notebook. - You can hide your code to not scare your (non-coding) collaborators. - Users can interact with notebook and save they results. - You can share notebook as a web app with multiple users - they don't overwrite original notebook. The demo running at Heroku (free dyno) http://mercury-demo-1.herokuapp.com, at AWS EC2 (t3a.small)…

    2022 · github.com · its alternatives →

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    Learning numerical computing with notebooks for all ages. - eka-foundation/numerical-computing-is-fun

    2017 · github.com · its alternatives →

  5. 5

    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 · its alternatives →

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    Notebooks for data scientists and data analysts.

    2021 · deepnote.com · its alternatives →

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    Create Python GUIs with Qt in minutes. Contribute to mherrmann/fbs development by creating an account on GitHub.

    2018 · github.com · its alternatives →

  8. 8

    I love Jupyter – it's how I learned to code back when I was working as a scientist. But I was always frustrated that there wasn't a simple and elegant app that I could use with my Mac. I made do by wrapping JupyterLab in a chrome app, and then more recently switching to VS Code to make use of Copilot. I've always craved a more focused and lighter-weight experience when working in a notebook. That's why I created Satyrn. It starts up really fast (faster time-to-execution than VS Code or JupyterLab), you can launch notebooks right from the Finder, and the design is super minimalist. It's got…

    2024 · satyrn.app · its alternatives →

  9. 9
    Sherloq▲545

    Collaborative AI repository for SQL users

    2024 · its alternatives →

  10. 10

    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 →

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    Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax. - vizzuhq/ipyvizzu

    2022 · github.com · its alternatives →

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  13. 13KA

    Hi HN, We're the founders of https://kyso.io We want to make it really easy to share data-science within teams, and we've started with Jupyter notebooks. We render the notebooks really nicely, so you can embed interactive visualisations like Bokeh, and Plotly plots. Another nice thing is we allow you to hide the code for non-technical readers, so you basically get a beautiful data blog. Look at https://kyso.io/laura/ for some examples. We really want to hear your feedback, let us know what you think!

    2017 · its alternatives →

  14. 14

    Hey HN, we're building Thread (https://thread.dev/) an open-source Jupyter Notebook that has a bunch of AI features built in. The easiest way to think of Thread is if the chat interface of OpenAI code interpreter was fused into a Jupyter Notebook development environment where you could still edit code or re-run cells. To check it out, you can see a video demo here: https://www.youtube.com/watch?v=Jq1_eoO6w-c We initially got the idea when building Vizly (https://vizly.fyi/) a tool that lets non-technical users ask questions from their data. While…

    2024 · github.com · its alternatives →

  15. 15MW

    Mito is AI for your Jupyter Notebook workflow. Use the Jupyter Agent, SQL, Database Connections, and Streamlit Apps for EDA and automations.

    2021 · trymito.io · its alternatives →

  16. 16

    Share Python notebooks as web apps with non-technical users

    2022 · mljar.com · its alternatives →

  17. 17

    Jupyter notebooks in the terminal. Contribute to joouha/euporie development by creating an account on GitHub.

    2021 · github.com · its alternatives →

  18. 18BM

    Hi HN! We're Lucas and Lucas from Briefer and we're building better notebooks. Our notebooks are kind of a mix between Notion and Jupyter with extra features, like the ability to schedule notebooks, turn them into dashboards and apps, and write SQL queries whose results turn into data frames automatically. We're building better notebooks because we think they're a great idea poorly executed - for three reasons. The first problem with notebooks is that they're difficult to share. Non-technical people don't want to download docker containers and install Python libraries to see what the data…

    2024 · briefer.cloud · its alternatives →

  19. 19

    Hello everyone, Dipesh and Siddarth here. We are building PlayBooks (https://github.com/DrDroidLab/playbooks), an open source tool to write executable notebooks for on-call investigations / remediations instead of Google Docs or Wikis. There’s a demo video here: https://www.youtube.com/watch?v=_e-wOtIm1gk, and our docs are here: https://docs.drdroid.io/docs/playbooks We were in YC’s W23 batch working on a data lakehouse with support for dynamic log schemas. Eventually we realized it was a product in search of a market and decided to…

    2024 · github.com · its alternatives →

  20. 20

    Author here. Mercury is the simplest way to serve your notebooks as web apps. The simplicity of the framework is very important to us. Mercury has some useful features to make sharing easier: - you can show or hide your code, - your users can easily export executed notebook to PDF/HTML, - there is built-in authentication, - you can produce files in the notebook and make them downloadable, - you can share multiple notebooks. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file. Below…

    2023 · runmercury.com · its alternatives →

  21. 21
    JupySQL▲115

    JupySQL is a SQL client for Jupyter

    2023 · its alternatives →

  22. 22AD
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    3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL - widgetti/ipyvolume

    2017 · github.com · its alternatives →

  24. 24

    Build dashboards in Jupyter Notebook with numeric and chart boxes - mljar/bloxs

    2022 · github.com · its alternatives →

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