hal9ai VS starboard-notebook

Compare hal9ai vs starboard-notebook and see what are their differences.

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hal9ai starboard-notebook
22 10
122 1,188
- -
-22.7 3.8
10 months ago 3 months ago
TypeScript TypeScript
MIT License Mozilla Public License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

hal9ai

Posts with mentions or reviews of hal9ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-22.
  • Show HN: Will data apps into existence with GPT-3
    1 project | news.ycombinator.com | 5 Dec 2022
  • PyScript
    10 projects | news.ycombinator.com | 22 Jun 2022
    We are not using libfortran not gdpr, we are basically using whatever libraries are available for the web. Since most data scientists don't want to use JS per se, you can build the apps as blocks in the Hal9 site or using a soon-to-be-released Python/R package, see https://notebooks.hal9.com

    Feel free to check out our repo as well, all the "primitives" / blocks code is in the scripts folder: https://github.com/hal9ai/hal9ai

  • Ask HN: Can you share websites that are pushing the utility of browsers forward?
    12 projects | news.ycombinator.com | 15 May 2022
    https://hal9.com helps data scientists build faster web applications.

    It uses WebGL and WebAssembly to process larger datasets, perform inference in the browser with TensorFlow.js, and enables running Python code with Pyodide.

  • Ask HN: What ML platform are you using?
    6 projects | news.ycombinator.com | 13 Mar 2022
    If you want to build a web application on top of your ML project, give https://hal9.com a shot. We designed Hal9 with ease of use for deployment and maximum compatibility with web technologies that enable you to build ML apps with React, Vue, etc. We launched a couple months ago but could use some early feedback and users. Thank you!
  • Built data analysis platform optimized for web developers
    4 projects | /r/webdev | 6 Feb 2022
    BTW. If you are ever interested in helping us out, you can send a PR's to our GitHub repo. For instance, the summarize and convert blocks are here: https://github.com/hal9ai/hal9ai/blob/main/scripts/transforms/summarize.txt.js and https://github.com/hal9ai/hal9ai/blob/main/scripts/transforms/convert.txt.js
  • PyFlow – visual and modular block programming in Python
    9 projects | news.ycombinator.com | 31 Jan 2022
    We are working in https://hal9.com which is language agnostic and allows you to compose different programming languages; however, we are focused at the moment at 1D-graphs but have plans to support 2D-graphs in the coming weeks.

    If you want a demo or just time to chat, I'm available at javier at hal9.ai.

  • hal9ai: Web-First Composable Data Pipelines
    1 project | /r/u_TsukiZombina | 10 Jan 2022
  • Mlflow, fastapi, streamlit template Project
    2 projects | /r/learnmachinelearning | 26 Oct 2021
    We would love to help out since this is a perfect use case for https://hal9.ai; we are about to release our beta version that makes this as easy as copy-pasting code. You can find me at javier at hal9.ai to find some time to chat and give you a walkthrough of our code-to-api functionality.
  • Flask with react.js
    1 project | /r/learnmachinelearning | 8 Oct 2021
    Hi there, would love to help you out. We are building a JavaScript + Python/R/AI service called https://hal9.ai to enable you to build React/Vue/Svelte/Angular apps against Python/R models. Want to send me an email to javier at hal9.ai to chat and help out?
  • Is BI dead? – On dismantling data's ship of Theseus
    2 projects | news.ycombinator.com | 21 Sep 2021
    Would love to hear your feedback for https://hal9.ai -- We are building an open source platform for data analysis based on reusable code blocks and a community to build and monetize their contributions. We are pretty early in our journey, launched our alpha and getting ready for our beta release, but would love to hear your thoughts. You can find me at javier at hal9.ai. Cheers!

starboard-notebook

Posts with mentions or reviews of starboard-notebook. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-28.
  • JupyterLite is a JupyterLab distribution that runs in the browser
    10 projects | news.ycombinator.com | 28 Nov 2022
    The format is only partially invented, it follows Jupytext [0], but adds support for cell metadata. There is no obvious way to get that in fenced codeblocks, especially with the ability to spread it over multiple lines so it plays well with version control.

    One more consideration is that it's not "Markdown with code blocks interspersed", one might as well use plaintext or AsciiDoc.

    Of course there are tradeoffs.. I wish I had more time to work on it.

    [0]: https://github.com/gzuidhof/starboard-notebook/blob/master/d...

    [1]: https://github.com/mwouts/jupytext

  • A fast SQLite PWA notebook for CSV files
    6 projects | news.ycombinator.com | 30 Dec 2021
    This is really wonderful! The discussion about lay people's knowledge of sql reminded me that the Pandas API is often useful for non-sql folk. Likewise there are some projects similar to dirtylittlesql to bring Python data manipulation to the browser.

    https://github.com/jtpio/jupyterlite

    https://github.com/gzuidhof/starboard-notebook

  • Turns Jupyter notebooks into standalone web applications and dashboards
    7 projects | news.ycombinator.com | 31 Aug 2021
    You could consider an in browser notebook to get your cost down to near nothing - it depends a bit on what kind of tasks your students do whether they fit in the browser (one wouldn't train a large neural network in one for instance)

    There's Starboard (which I'm building, it's built specifically for the browser and can integrate into a larger app deeply) and JupyterLite (the closest you will get to JupyterLab in the browser), either can be a good choice depending on your requirements. Both use Pyodide for the Python runtime.

    [1]: https://github.com/gzuidhof/starboard-notebook, demo: https://starboard.gg

    [2]: https://jupyterlite.readthedocs.io/en/latest/

  • Enabling COOP/COEP without touching the server
    2 projects | dev.to | 5 Aug 2021
    A few examples of web-applications that have this problem are in-browser video converters using ffmpeg.wasm, a web-based notebook that supports Python and multithreaded Emscripten applications.
  • I want to learn D3. I don’t want to learn Observable. Is that ok? (2019-2021)
    6 projects | news.ycombinator.com | 13 Jun 2021
    As someone building an in-browser notebook I have a lot of opinions on notebook environments. Notebooks serve different purposes, sometimes the notebook itself is the end-goal because the author is creating an interactive tutorial or explaining a complex concept with a bunch of visualizations. Observable is a fantastic tool for that, and the kind-of-Javascript reactive programming system it is built on is a great fit for that.

    Outside of that use-case, I think notebooks are great for the first 20% of the effort that gets 80% of the work done. If it turns out one also needs to do the other 80% of the effort to get the last 20%, it is time to "graduate" away from a notebook. For instance if I am participating in a Kaggle machine learning competition I may train my first models in a Jupyter notebook for quick iteration on ideas, but when I settle onto a more rigid pipeline and infra, I will move to plain Python files that I can test and collaborate on.

    This "graduation" from notebook to the "production/serious" environment should be straightforward, which means there shouldn't be too much magic in the notebook without me opting into it. Documentation in my eyes is not so different, I should be able to copy the examples easily into my JS project without knowing specifics of Observable and adapt it to my problem. Saying "don't be lazy and just learn Observable", or "you must learn D3 itself properly to be able to use it anyway" is not helpful. Observable being a closed, walled garden doesn't help: not being able to author notebooks without using their closed source editor is a liability that I can totally understand makes it a non-starter for some companies and individuals.

    I think it's ok to plug my own project: It's called Starboard [1] and is truly open source [2]. It's built on different principles: it's hackable, extendable, embeddable, shareable, and easy to check into git (i.e. I try to take what makes the web so great and put that in a notebook environment). You write vanilla JS/ES/Python/HTML/CSS, but you can also import your own more advanced cell types. Here's an example which actually introduces an Observable cell type [3] which is built upon the Observable runtime (which is open source) and an unofficial compiler package [4]. I would be happy for the D3 examples to be expressed in these really-close-to-vanilla JS notebooks, but I can convince the maintainers to do so.

    [1]: https://starboard.gg

    [2]: https://github.com/gzuidhof/starboard-notebook

    [3]: https://starboard.gg/gz/open-source-observablehq-nfwK2VA

    [4]: https://github.com/asg017/unofficial-observablehq-compiler

  • Show HN: A simple JavaScript notebook in one file
    5 projects | news.ycombinator.com | 8 Jun 2021
  • Pyodide: Python for the Browser
    5 projects | news.ycombinator.com | 12 May 2021
    If you want to play with Pyodide in a web notebook you can try Starboard [1][2].

    A sibling comment introduces JupyterLite and Brython, which are Jupyer-but-in-the-browser, whereas with Starboard I'm trying to create what Jupyter would have been if it were designed for the browser first.

    As it's all static and in-browser, you can embed a notebook (or multiple) in a blog post for instance to power interactive examples. The bundle size is a lot smaller than JupyerLite for the initial load - it's more geared towards fitting into existing websites than being a complete IDE like JupyerLab.

    [1] https://github.com/gzuidhof/starboard-notebook

    [2] https://starboard.gg

  • Brython: Python in the Browser
    1 project | news.ycombinator.com | 12 Apr 2021
  • Ask HN: What personal tools are you the most proud of making?
    5 projects | news.ycombinator.com | 6 Apr 2021

What are some alternatives?

When comparing hal9ai and starboard-notebook you can also consider the following projects:

arquero - Query processing and transformation of array-backed data tables.

jupyterlite - Wasm powered Jupyter running in the browser πŸ’‘

pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly

TiddlyWiki - A self-contained JavaScript wiki for the browser, Node.js, AWS Lambda etc.

blockly - The web-based visual programming editor.

unofficial-observablehq-compiler - An unofficial compiler for Observable notebook syntax

gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

userscript-github-repository-categories - Categorize GitHub repositories by matching repository names with regular expressions

ml5-library - Friendly machine learning for the web! πŸ€–

dev - Development repository for the CodeMirror editor project

regression-js - Curve Fitting in JavaScript.

Transcrypt - Python 3.9 to JavaScript compiler - Lean, fast, open! -